COMPARE RESEARCH PAPERS

Compare research papers side by side and see where each claim comes from

Two studies on the same question rarely disagree for one reason. They differ in who was sampled, how the outcome was measured, how long participants were followed and which analysis was run. Upload the papers to one Search+ workspace and ask about one of those differences at a time: the answer sets the studies against each other in chat and cites the passage in each paper, so you can see why their results diverge.

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Last updated October 2026

How to compare research papers with Search+

  1. Upload every paper you want to weigh

    Add the studies, up to 10 files at a time, including any replication or follow-up papers. Keeping them in a single workspace lets one question reach all of them.

  2. Name your comparison criteria once

    Write the criteria in Workspace Context, for example "Compare on population, intervention, comparator, outcome measure and follow-up length; note where a paper does not report one". Every question in the workspace then uses that frame.

  3. Ask one criterion per question

    Ask how the samples differ, then how the outcomes were measured, then how the effects compare. Each answer cites the paper behind each point, and you can open the excerpt to check it.

Comparison questions to ask across papers

Populations

How do the participants in these studies differ in age, setting and how they were recruited?

Outcome measures

Do the papers measure the main outcome the same way, or with different instruments or definitions?

Direction of results

Which papers report a positive effect, which report no effect, and how do the authors explain the difference?

Follow-up

How long was each study's follow-up period, and did any paper report effects fading over time?

Analytic choices

Which papers adjusted for confounders, and which variables did each one adjust for?

Stated weaknesses

What limitation does each paper acknowledge that the others do not mention?

Comparison points that matter for research papers

Design shapes what a result can mean

A randomized trial, a cohort study and a cross-sectional survey can study the same question and support very different conclusions. Ask each paper's design first, then read its result in that light.

Same words, different measures

Two papers can both report "anxiety" or "productivity" while using different scales or definitions. Ask how each one operationalized the outcome before comparing numbers.

Effect sizes are not always comparable

Papers may report odds ratios, mean differences or correlations, on different scales and with different reference groups. Ask what each paper's figure is and what it is relative to, rather than lining up the numbers directly.

Missing details are a finding too

If one paper does not report its dropout rate or funding source, that gap matters when you weigh it. Ask the question across all papers and note which ones are silent.

Each point carries its own source

In a cross-paper answer, citations point to the excerpt in each paper, so a statement about study A and one about study B can each be checked on their own.

What to compare across research papers, and how to ask

Comparison pointWhy it mattersA question to ask Search+
Research questionPapers may answer neighbouring questions, not the same oneWhat exact question does each paper set out to answer?
DesignDetermines how strongly a result supports cause and effectWhich of these papers are experiments and which are observational?
Sample and settingResults may hold only for the people or context studiedWhere and from whom was each sample drawn?
Outcome definitionDifferent definitions can produce different resultsHow does each paper define and measure the main outcome?
Main resultThe finding you are trying to reconcileWhat is each paper's main result, in the authors' own terms?
LimitationsShows where each result is weakestWhich limitations does each paper report?
Funding and interestsContext for how results are framedWho funded each study, and are any conflicts declared?

What a research paper comparison in Search+ is

A comparison in Search+ is an answer written in chat: you ask how several papers differ on a point, and the reply describes the differences with inline citations to each paper's supporting passage. You can keep asking follow-up questions in the same conversation.

It is not a systematic review, a meta-analysis or a pooled statistic, and it is not a redline of two files. Search+ reports what each paper says; deciding how much weight each study deserves stays with you.

Questions about comparing research papers

Can Search+ compare two research papers?
Yes. Upload both papers to one workspace and ask how they differ, for example in their samples or outcome measures. The answer covers both and cites a passage in each. Deep Analysis (beta) is another way to ask for that comparison across the papers.
Can it compare more than two studies?
Yes. Ask across the whole workspace and the answer can draw on every paper in it. For larger sets, ask about one comparison point at a time so the answer stays readable and every claim has a citation.
Will it calculate a pooled effect across the papers?
No. Search+ reports the figures each paper gives, with citations, but it does not combine them statistically. Pooling results needs a formal meta-analysis.
How do I find out why two studies disagree?
Ask about the differences that usually explain disagreement, such as sample, measure, follow-up length and analysis, one at a time. The cited passages let you see each paper's choice in its own words.
Does this replace a literature review?
No. It helps you read and contrast specific papers, point by point. For working through a whole body of research, see the literature review page, and treat every answer as a pointer to the text rather than a conclusion.
Can a comparison answer be wrong?
Yes, AI answers can miss or misread a detail. Open the citation for each paper before you rely on a difference, especially when it involves a number.

See where the studies part ways

Start a workspace, upload the papers you are weighing, and ask how they differ one point at a time.

Start a workspace