# Literature Notes for Systematic Reviews: A Template and Workflow

## Quick Answer

- Use a structured literature note template with fixed extraction fields to record study details, results, and quality signals consistently across every paper in a systematic review.
- Build a workflow that separates screening, extraction, and synthesis so each stage has its own note format and verification step.
- A literature note system cannot replace the review protocol, reporting guidelines, or team decisions about inclusion criteria and risk of bias.

## At a Glance

| Note Component | Purpose | Typical Fields | Verification Step |
| --- | --- | --- | --- |
| Citation Record | Identify the paper uniquely and link it to the full text | Authors, year, title, journal, DOI, database source | Check DOI resolves and citation matches the original PDF |
| Screening Note | Document why a paper passed or failed eligibility | Inclusion criteria met, exclusion reason, screener initials, date | Second screener independently reviews a sample of decisions |
| Extraction Form | Capture outcome data and study characteristics consistently | Population, intervention, comparator, outcomes, effect estimates, follow-up duration | Compare extracted values against the source table or text |
| Quality Assessment | Record risk-of-bias judgments and supporting evidence | Domain ratings, justification quotes, reviewer notes | Resolve disagreements through discussion or third reviewer |
| Synthesis Memo | Link extracted data to the analysis and report | Effect direction, heterogeneity notes, subgroup observations | Cross-check memo claims against the extraction forms |

## Why Systematic Reviews Need a Dedicated Note System

A systematic review compiles evidence from many studies to answer a focused question. The volume of papers can reach hundreds or thousands during screening. Without a structured note system, details from individual studies blur together, extraction errors go unnoticed, and the final report may not reflect what the sources actually said.

The [National Library of Medicine Research Methods Resources](https://www.ncbi.nlm.nih.gov/books) gateway provides access to biomedical books and research-method references that describe the standards for conducting systematic reviews. These resources emphasize that systematic reviews follow a predefined protocol, use explicit methods, and document decisions at every stage. Literature notes are the operational tool that makes those standards achievable in daily work.

A literature note system for systematic reviews differs from general research note taking. General notes capture ideas and connections for later writing. Systematic review notes must capture data in a form that can be compared across studies, checked for accuracy, and traced back to the original source. The note is not a summary of what the paper says. It is a structured record of what the review team extracted, judged, and decided.

The [EQUATOR Network](https://www.equator-network.org/) provides reporting guidelines for health research, including guidelines specific to systematic reviews. These guidelines specify what information a completed review should report. Working backward from those reporting requirements helps define what fields the literature notes must contain. If the reporting guideline asks for the number of studies screened and the reasons for exclusion, the screening notes must capture that information in a retrievable format.

## Core Principles of Systematic Review Note Taking

### Separation of Screening, Extraction, and Synthesis

Each stage of a systematic review produces different kinds of information. Screening notes answer the question of whether a paper belongs in the review. Extraction forms answer the question of what the paper found. Synthesis memos answer the question of how the findings fit together. Mixing these functions in a single note creates confusion and makes verification difficult.

A screening note records the decision to include or exclude a paper and the reason. An extraction form records specific data points from the paper, such as sample size, intervention details, and outcome measurements. A synthesis memo records the review team's interpretation of the extracted data across multiple studies. Keeping these records separate allows each one to be checked against its source.

### Fixed Fields Over Free Text

Free-form notes invite inconsistency. One reviewer may record sample size as "n=45" while another writes "45 participants." One may note the intervention dose in the text while another places it in a separate field. Fixed fields force consistent recording and make later comparison possible.

The extraction form should have a defined field for each data element the review protocol identifies as important. The [NIH Grants and Funding](https://grants.nih.gov/) pages describe how funded research proposals specify methods and analysis plans in advance. The same principle applies to systematic review notes. The extraction form is designed before data collection begins, not improvised while reading papers.

### Traceability to the Source

Every note entry must be traceable to a specific location in the source paper. A note that records "intervention improved outcomes" without a page number, table reference, or direct quote cannot be verified. A note that records "HR 0.72, 95% CI 0.58 to 0.89, Table 3, page 8" can be checked against the original.

Traceability also applies to the review team's own decisions. If a paper was excluded because it did not report the required outcome, the screening note should say so explicitly. If a risk-of-bias judgment was changed after discussion, the note should record the original judgment, the revised judgment, and the reason.

### Version Control and Team Coordination

Systematic reviews are rarely completed by one person. Multiple reviewers may screen the same papers, extract data from different studies, or check each other's work. A note system without version control creates the risk that one reviewer's edits overwrite another's records.

The [Committee on Publication Ethics Core Practices](https://publicationethics.org/core-practices) describe standards for data handling and integrity in research. These practices apply to the working records of a review as much as to the final publication. The note system should preserve the history of changes, identify who made each change, and maintain a clear record of the final agreed version.

## The Literature Note Template

### Citation Record Fields

The citation record is the foundation of the note. It identifies the paper uniquely and links the note to the full text. Each paper in the review should have exactly one citation record.

| Field | Purpose | Example Entry |
| --- | --- | --- |
| Authors | Identify who wrote the paper | Chen L, Rodriguez M, Patel S |
| Year | Place the paper in time | 2021 |
| Title | Identify the paper precisely | Effect of dietary fiber on glycemic control in adults with type 2 diabetes |
| Journal | Identify the publication venue | Journal of Clinical Nutrition |
| DOI | Provide a permanent link | 10.xxxx/xxxxx |
| Database and ID | Record where the record was found | PubMed ID 12345678 |
| Full-text location | Note where the PDF is stored | Shared drive, folder 03_extraction |

The citation record should be created when the paper enters the screening stage. This ensures that every paper considered for the review has a stable identifier before any data are extracted.

### Screening Note Fields

Screening notes document the eligibility decision. The fields should reflect the inclusion and exclusion criteria from the review protocol.

| Field | Purpose | Example Entry |
| --- | --- | --- |
| Screener initials | Identify who made the decision | JM |
| Screening date | Record when the decision was made | 2025-03-14 |
| Decision | Include or exclude | Exclude |
| Reason | State which criterion failed | No comparator group |
| Criterion reference | Link to the protocol section | Protocol Section 3.2, criterion 4 |
| Notes | Add context if needed | Pilot study, no control arm |

Screening notes should be brief. The decision and the reason are the essential elements. Long summaries at the screening stage duplicate work that belongs in the extraction stage.

### Extraction Form Fields

The extraction form captures the data that will be analyzed and reported. The fields depend on the review question and the study designs included. A template for a quantitative review of intervention studies might include the following fields.

| Field | Purpose | Example Entry |
| --- | --- | --- |
| Study design | Record the design as reported | Randomized controlled trial |
| Setting | Record where the study took place | Outpatient clinics, three urban hospitals |
| Population | Record who was studied | Adults aged 40 to 75 with type 2 diabetes |
| Sample size | Record the number analyzed | 214 randomized, 198 analyzed |
| Intervention | Record what was done | 25 g psyllium fiber daily for 12 weeks |
| Comparator | Record the control condition | Usual care, no fiber supplement |
| Primary outcome | Record the main outcome measure | Change in HbA1c from baseline |
| Effect estimate | Record the reported effect | Mean difference -0.4%, 95% CI -0.7 to -0.1 |
| Follow-up duration | Record the observation period | 12 weeks |
| Funding source | Record who funded the study | National research council grant |
| Conflicts of interest | Record declared conflicts | One author reported consulting fees |

Each field should have a corresponding location in the source paper. The extraction form can include a column for page numbers or table references so that every entry can be verified.

### Quality Assessment Fields

Quality assessment records the review team's judgment about the risk of bias in each included study. The fields depend on the quality assessment tool specified in the protocol. A general template includes the following.

| Field | Purpose | Example Entry |
| --- | --- | --- |
| Assessment tool | Identify the tool used | Cochrane Risk of Bias 2 |
| Domain 1 judgment | Record the judgment for each domain | Low risk |
| Domain 1 justification | State the evidence for the judgment | Random sequence generation described, allocation concealed |
| Overall judgment | Record the summary judgment | Low risk of bias |
| Assessor initials | Identify who made the judgment | AB |
| Second assessor | Record the checking reviewer | CD |
| Disagreement resolution | Note how conflicts were resolved | Discussed, consensus reached |

Quality assessment notes should quote or paraphrase the specific parts of the paper that support each judgment. A judgment without justification cannot be checked or defended.

## The Workflow

### Step 1: Design the Note System Before Screening

The note system should be designed when the review protocol is written, not after screening begins. The protocol defines the research question, the eligibility criteria, the search strategy, and the planned analysis. The note system operationalizes those decisions.

Create the citation record template, the screening note template, the extraction form, and the quality assessment form before the first search is run. Test the forms on two or three sample papers. Revise the fields if the test reveals ambiguity or missing data elements.

The [EQUATOR Network](https://www.equator-network.org/) provides reporting guidelines that can inform the design of the extraction form. Review the reporting guideline for the planned review type and ensure that every required reporting element has a corresponding field in the note system.

### Step 2: Screen With a Two-Stage Process

Screening typically proceeds in two stages. The first stage uses titles and abstracts to remove obviously irrelevant records. The second stage uses full texts to apply the eligibility criteria precisely.

Create a screening note for every record that reaches the full-text stage. Records excluded at the title and abstract stage can be logged in a simpler format, but the count and the broad reason should still be recorded. The [PRISMA reporting guideline, available through the EQUATOR Network](https://www.equator-network.org/), requires the review report to state how many records were screened and how many were excluded at each stage.

### Step 3: Extract Data in Duplicate

Data extraction should be done by two reviewers independently. Each reviewer completes a separate extraction form for each included study. The two forms are then compared. Disagreements are resolved by discussion or by a third reviewer.

Independent extraction is a quality control measure. It catches errors that a single reviewer would miss. The note system must support this process by allowing each reviewer to work in a separate copy or a separate column and by preserving both versions until the comparison is complete.

### Step 4: Assess Quality With Justification

Quality assessment should follow the same independent and duplicate process as data extraction. Each assessor records judgments and justifications separately. The team then compares judgments and resolves disagreements.

The quality assessment notes should be linked to the extraction form for the same study. This linkage allows the review team to consider whether the quality judgments affect the interpretation of the extracted data.

### Step 5: Write Synthesis Memos

Synthesis memos are written after extraction and quality assessment are complete. Each memo addresses one outcome or one subgroup analysis. The memo summarizes the direction and consistency of the findings across studies, notes any patterns in the quality assessments, and records the team's interpretation.

The synthesis memo should cite the specific extraction forms and studies that support each claim. A claim that "three studies showed a reduction in the primary outcome" should name the three studies and point to their extraction forms.

## Practical Implementation Options

### Spreadsheet-Based Notes

A spreadsheet is the simplest implementation. Each tab can hold one type of note. The citation record tab lists every paper. The screening tab records decisions. The extraction tab contains one row per study with columns for each extraction field.

Spreadsheets work well for reviews with a manageable number of included studies. They are easy to share, easy to sort, and require no special software. The main limitation is version control. If two reviewers edit the same spreadsheet simultaneously, changes can be lost. Use a shared platform with change tracking or assign each reviewer a separate file.

### Reference Manager With Custom Fields

Reference managers such as Zotero or EndNote can store citation records and custom fields for screening decisions and extraction data. The reference manager keeps the citation record and the full-text PDF together. Custom fields can hold screening decisions, extraction values, and quality judgments.

This approach reduces duplication because the citation record is created once in the reference manager and does not need to be re-entered in a spreadsheet. The limitation is that custom fields are less flexible than a spreadsheet for complex extraction forms with many fields.

### Dedicated Systematic Review Software

Dedicated software platforms for systematic reviews provide integrated screening, extraction, and quality assessment modules. These platforms are designed for the specific workflow of a systematic review and often include built-in support for duplicate screening and disagreement resolution.

The [NIH Grants and Funding](https://grants.nih.gov/) pages describe how funded research projects are expected to follow rigorous methods. Dedicated software can help meet those expectations by enforcing structured data entry and maintaining an audit trail. The limitation is cost and the learning curve for the team.

### Note-Taking Applications With Templates

General note-taking applications such as Obsidian, Notion, or Evernote can be adapted for systematic review notes. Create a template for each note type and use tags or links to connect notes for the same study.

This approach offers flexibility and integrates with other research notes. The limitation is that the team must build the workflow themselves. There is no built-in support for duplicate screening or version control.

## Records and Measurements

### What to Record for Each Study

The note system should record the following for every study that reaches the extraction stage.

| Record | Measurement | Purpose |
| --- | --- | --- |
| Screening decision | Include or exclude | Document eligibility |
| Exclusion reason | Specific criterion | Support the flow diagram |
| Extraction completion date | Date | Track progress |
| Extractor initials | Reviewer identity | Assign responsibility |
| Verification status | Verified or pending | Track quality control |
| Quality assessment date | Date | Track progress |
| Quality assessor initials | Reviewer identity | Assign responsibility |
| Disagreement count | Number of conflicts | Identify problem areas |

### Progress Tracking

The note system should support progress tracking for the review team. A simple tracking table lists each study, its screening status, extraction status, and quality assessment status. This table shows at a glance which studies are complete and which are pending.

Progress tracking is important for managing the review timeline. Systematic reviews take months to complete. A tracking table helps the team identify bottlenecks and allocate effort where it is needed.

### Verification Log

A verification log records the checks that were performed on the extracted data. For each study, the log records who verified the extraction, when the verification was done, and what was checked. The verification log provides evidence that the review team took steps to ensure data accuracy.

The [Committee on Publication Ethics Core Practices](https://publicationethics.org/core-practices) describe expectations for data integrity in research. A verification log is a practical way to demonstrate that the review team met those expectations.

## Common Failure Patterns

### Extraction Without Source References

The most common failure is extracting data without recording where each value came from. A note that says "mean age 62" without a page number or table reference cannot be verified. If a question arises later about whether the value was recorded correctly, the team must return to the PDF and search for the value.

Prevent this failure by requiring a source reference for every extraction field. The extraction form should have a column for the page number or table number where each value was found.

### Screening Notes That Summarize Instead of Decide

Screening notes that summarize the paper instead of recording the eligibility decision create extra work. A screening note that says "this study examined the effect of fiber on glycemic control" does not record whether the study met the inclusion criteria. The decision is the essential content.

Prevent this failure by keeping the screening note focused on the decision and the reason. If the paper is excluded, the note should state which criterion failed. If it is included, the note should confirm that all criteria were met.

### Extraction Forms That Change Mid-Review

If the extraction form is revised after data collection has begun, the early extractions may not contain the new fields. This creates inconsistency and requires re-extraction of some studies.

Prevent this failure by piloting the extraction form before full data collection begins. Test the form on several studies that are representative of the expected range. Revise the form before starting full extraction. Once full extraction begins, freeze the form and do not add or remove fields.

### Quality Judgments Without Justification

A quality assessment that records "high risk" without explaining why cannot be defended. The justification is what allows the review team to discuss the judgment, resolve disagreements, and report the reasons to readers.

Prevent this failure by requiring a justification for every quality judgment. The justification should reference the specific parts of the paper that support the judgment.

### Duplicate Records for the Same Study

If the same study is reported in multiple papers, the review team may create separate notes for each paper without recognizing that they describe the same study. This can lead to double-counting in the synthesis.

Prevent this failure by checking for duplicate publications during screening. Compare author names, study names, and reported sample sizes. Link notes for papers that report the same study.

## Limitations of the Note System

### The Note System Does Not Replace the Protocol

A literature note system records what the review team did. It does not define what the review team should do. The protocol defines the research question, the eligibility criteria, the search strategy, and the analysis plan. The note system records the execution of that plan.

If the protocol is incomplete or ambiguous, the note system will not fix it. The review team must resolve protocol questions before data collection begins. The [EQUATOR Network](https://www.equator-network.org/) provides reporting guidelines that can help the team identify what the protocol should specify.

### The Note System Does Not Replace Reporting Guidelines

Reporting guidelines specify what the final review report should contain. The note system records the data that will be reported. A note system designed without reference to the reporting guideline may miss fields that the guideline requires.

The [EQUATOR Network](https://www.equator-network.org/) maintains a library of reporting guidelines for different study types. The review team should identify the relevant guideline early and use it to inform the design of the note system.

### The Note System Does Not Replace Team Judgment

The note system records decisions and data. It does not make decisions. The review team must judge whether a study meets the eligibility criteria, whether an outcome is clinically important, and whether a risk-of-bias judgment is appropriate.

The note system supports these judgments by organizing the evidence and recording the reasoning. It does not substitute for the expertise of the review team.

## Welfare and Safety Context

### Data Integrity and Publication Ethics

The [Committee on Publication Ethics Core Practices](https://publicationethics.org/core-practices) describe standards for authorship, data handling, conflicts of interest, and misconduct. These practices apply to systematic reviews as they do to all research.

A literature note system supports data integrity by creating a transparent record of what was done. The record shows which studies were screened, why they were included or excluded, what data were extracted, and how quality was assessed. This transparency allows the review to be checked and reproduced.

The note system also supports the responsible conduct of research by making it difficult to misrepresent the evidence. If the extraction forms show what each study reported, the synthesis cannot claim findings that the studies did not support.

### Researcher Identity and Attribution

The [ORCID for Researchers](https://info.orcid.org/researchers) pages describe how researchers can maintain a persistent identifier that links their work across publications and contributions. For systematic review teams, ORCID identifiers can be used in the note system to attribute screening, extraction, and quality assessment decisions to specific team members.

Attribution is important for accountability. If a question arises about a screening decision or an extraction value, the team needs to know who made the decision and when. The note system should record reviewer initials or ORCID identifiers for every decision.

### Data Management and Sharing

The [NIH Data Management and Sharing Policy](https://sharing.nih.gov/data-management-and-sharing-policy) describes expectations for managing and sharing research data. Systematic review data, including screening decisions, extraction forms, and quality assessments, may be considered research data that should be preserved and shared.

The note system should be designed with data management in mind. The files should be organized, named consistently, and stored in a location that will persist after the review is complete. The team should consider whether the extraction data can be shared as a supplement to the published review.

## Professional Escalation Criteria

### When to Consult a Librarian or Information Specialist

A librarian or information specialist can help with the search strategy, the selection of databases, and the management of search results. Consult a librarian if the search strategy is not retrieving relevant studies, if the team is unsure which databases to search, or if the team needs help deduplicating records.

### When to Consult a Statistician

A statistician can help with the analysis plan, the interpretation of effect estimates, and the assessment of heterogeneity. Consult a statistician if the review includes quantitative synthesis, if the team is unsure how to combine effect estimates, or if the extracted data show unexpected patterns.

### When to Consult a Methodologist

A methodologist can help with the design of the review, the selection of quality assessment tools, and the interpretation of risk-of-bias judgments. Consult a methodologist if the team is unsure which quality assessment tool to use, if the team disagrees about quality judgments, or if the review question requires a complex synthesis approach.

### When to Consult an Editor or Publisher

An editor or publisher can provide guidance on reporting standards and publication requirements. Consult an editor or publisher if the team is unsure which reporting guideline applies, if the team has questions about data sharing requirements, or if the team needs guidance on authorship and acknowledgments.

The [Committee on Publication Ethics Core Practices](https://publicationethics.org/core-practices) describe the responsibilities of authors and journals. If the team has questions about authorship criteria, duplicate publication, or conflicts of interest, the COPE resources provide a starting point for resolving those questions.

## Frequently Asked Questions

### What is the difference between a literature note and an annotated bibliography?

A literature note for a systematic review records structured data in fixed fields for later extraction and synthesis. An annotated bibliography provides a summary and evaluation of each source for the reader. The systematic review note is designed for data extraction and verification, while the annotated bibliography is designed for presentation.

### How many fields should an extraction form have?

The number of fields depends on the review question and the reporting guideline. The form should include every data element that the protocol identifies as important and every element that the reporting guideline requires. Pilot the form on sample papers and revise it before full extraction begins.

### Should I use a spreadsheet or dedicated software for systematic review notes?

A spreadsheet works well for reviews with a manageable number of included studies and a simple extraction form. Dedicated software provides integrated screening, extraction, and quality assessment modules with built-in support for duplicate screening. The choice depends on the team's budget, the review complexity, and the team's familiarity with the tools.

### How do I handle disagreements between reviewers during extraction?

Record both reviewers' entries and resolve the disagreement through discussion. If discussion does not resolve the conflict, a third reviewer makes the final decision. The note system should preserve both original entries and the final agreed entry so the resolution process is transparent.

### Can I use the same note system for a scoping review or a narrative review?

The same principles apply, but the fields differ. A scoping review may focus on mapping the evidence instead of extracting effect estimates. A narrative review may not require duplicate extraction or

## Related Articles

- [Data Management Plan Template: A Practical Guide for Researchers](/blog/guides/data-management-plan-template-a-practical-guide-for-researchers)
- [Steps in Conducting a Meta-Analysis: A Structured Workflow](/blog/guides/steps-in-conducting-a-meta-analysis-a-structured-workflow)
- [Scientific Literature Review: A Reproducible Search and Synthesis Workflow](/blog/careers/scientific-literature-review-a-reproducible-search-and-synthesis-workflow)
- [Scientific Literature Review Format: A Reproducible Structure for Researchers](/blog/careers/scientific-literature-review-format-a-reproducible-structure-for-researchers)
- [Meta-Analysis vs Systematic Review: What's the Difference?](/blog/guides/meta-analysis-vs-systematic-review-what-s-the-difference)

## References and Further Reading

- [Research Methods Resources](https://www.ncbi.nlm.nih.gov/books). National Library of Medicine.
- [EQUATOR Network](https://www.equator-network.org/). EQUATOR Network.
- [Core Practices](https://publicationethics.org/core-practices). Committee on Publication Ethics.
- [NIH Grants and Funding](https://grants.nih.gov/). National Institutes of Health.
- [ORCID for Researchers](https://info.orcid.org/researchers). ORCID.
- [Data Management and Sharing Policy](https://sharing.nih.gov/data-management-and-sharing-policy). National Institutes of Health.
- [NCBI Literature Resources](https://www.ncbi.nlm.nih.gov/). National Center for Biotechnology Information.
- [PubMed](https://pubmed.ncbi.nlm.nih.gov/). National Library of Medicine.

> This article is educational and does not replace institutional policy, professional advice, or applicable safety and regulatory requirements.