Evidence Table Builder

Research PDFs in. Defensible tables out.

Extract structured answers for systematic reviews, meta-analyses, and CERs—with verbatim quotes, page locations, and review flags in every Excel export.

Product tour

See the extraction workflow

Watch Evidence Table Builder turn research PDFs into structured, reviewable Excel outputs.

Built for evidence work

Systematic reviewsMeta-analysesClinical evaluation reportsHTA submissionsHEOR evidence tablesRCTsObservational studiesSafety narrativesComparative effectivenessLiterature screening follow-ups
Systematic reviewsMeta-analysesClinical evaluation reportsHTA submissionsHEOR evidence tablesRCTsObservational studiesSafety narrativesComparative effectivenessLiterature screening follow-ups
Systematic reviewsMeta-analysesClinical evaluation reportsHTA submissionsHEOR evidence tablesRCTsObservational studiesSafety narrativesComparative effectivenessLiterature screening follow-ups
Systematic reviewsMeta-analysesClinical evaluation reportsHTA submissionsHEOR evidence tablesRCTsObservational studiesSafety narrativesComparative effectivenessLiterature screening follow-ups
Literature screening follow-upsComparative effectivenessSafety narrativesObservational studiesRCTsHEOR evidence tablesHTA submissionsClinical evaluation reportsMeta-analysesSystematic reviews
Literature screening follow-upsComparative effectivenessSafety narrativesObservational studiesRCTsHEOR evidence tablesHTA submissionsClinical evaluation reportsMeta-analysesSystematic reviews
Literature screening follow-upsComparative effectivenessSafety narrativesObservational studiesRCTsHEOR evidence tablesHTA submissionsClinical evaluation reportsMeta-analysesSystematic reviews
Literature screening follow-upsComparative effectivenessSafety narrativesObservational studiesRCTsHEOR evidence tablesHTA submissionsClinical evaluation reportsMeta-analysesSystematic reviews

Workflow

From study PDFs to a review-ready table

A focused extraction path—not another chat-with-PDF toy. Define what you need once, then reuse it across your corpus.

  1. 01

    Upload studies

    Drop one PDF or a full batch. Keep moving while files process.

  2. 02

    Define questions

    Set the fields your evidence table needs—population, outcomes, follow-up, and more.

  3. 03

    Export with proof

    Receive structured Excel plus an Audit Trail sheet: quotes, locations, confidence, flags.

Batch intake

Keep the corpus moving

Upload multiple papers and extract against the same question set—ideal for screening follow-ups and living reviews.

Smith_2023_RCT.pdf

12 pages

Chen_2022_Cohort.pdf

18 pages

Garcia_2024_Meta.pdf

24 pages

Mean ageSample sizeInterventionComparatorPrimary endpointFollow-up durationInclusion criteriaAdverse events

Output

Analysis-ready Excel, not loose notes

Consistent columns for filtering and synthesis—plus a second sheet that keeps every answer accountable.

ResultsAudit Trail
Question
Answer
Flag
Mean age
64.5 yrs
Verified
Follow-up
24 mo
Verified
Endpoint
Not found
Start extracting

Traceability

Every extracted answer keeps its source

Results and Audit Trail ship together—verbatim quotes, page locations, confidence scores, and review flags so the table stays defensible.

Evidence_Table_Export.xlsx
QuestionVerbatimLocationConf.Flag
Mean age"The mean age of the study population was 64.5 ± 8.2 years at baseline."

Results · Table 1

Page 4

98%Verified
Follow-up duration"Participants were followed for a median of 24 months (IQR 18–30)."

Methods · §2.3

Page 2

95%Verified
Sample size"A total of 412 patients met eligibility and were included."

Abstract

Page 1

99%Verified
Primary endpoint"Outcome data not explicitly reported in Table 4."

Results · Table 4

Page 12

N/ANot found
Intervention"Active treatment with an SGLT2 inhibitor compared with matched placebo."

Methods · Interventions

Page 3

81%Needs review
Comparator"Control participants received matched placebo tablets."

Methods · §2.1

Page 3

96%Verified
Adverse events"Safety events were described narratively without a consistent severity scale."

Results · Safety

Page 9

74%Ambiguous

Built for review

Extraction without a paper trail is just a guess

Every cell can point back to the source language, the page it came from, and a status flag when the paper is silent or ambiguous.

  • Verbatim quotes keep the exact wording behind each answer.
  • Locations cite section, table, and page for rapid verification.
  • Status flags surface not found, ambiguous, and needs-review answers before you publish.
Smith_2023_RCT.pdf
Page 4 · Results · Baseline characteristics
Linked to Excel · Mean age

Table 1 summarizes demographic and clinical characteristics. The mean age of the study population was 64.5 ± 8.2 years at baseline. Sixty-two percent of participants were male.

VerifiedConfidence 98%

Live audit signals

Insights

Latest from the blog

Guides on evidence tables, systematic reviews, and HEOR workflows.

View all articles →

FAQ

Questions researchers ask first

Human support

Work with a professional

Need hands-on help with evidence tables, systematic reviews, or quality assessment? Request a consultation and we'll follow up within 24 hours.

Prefer the full intake form? Open the contact page

Next step

Build your next evidence table with a paper trail

Upload studies, define your questions, and export Results plus Audit Trail in one pass.