03 · What You Need to Know
A practical method for reading research papers efficiently
Step 1: Decide why you are reading the paper
Before reading, ask what you need from it.
You might be trying to:
- decide whether the paper belongs in your literature review;
- understand its main finding;
- learn a method;
- compare its results with another study;
- evaluate whether its conclusions are trustworthy;
- find evidence supporting a specific claim;
- understand a theory;
- identify references for further reading; or
- replicate or build on the research.
Your purpose determines which sections deserve attention. Carey and colleagues make this the first of their rules for reading scientific papers: establish your reading goal because different intentions require different approaches to the same article.
If you only need to decide whether a paper is relevant, detailed examination of every methodological decision is premature. If you intend to use its method in your own study, however, the methods and supplementary material may become the most important parts.
Step 2: Check what kind of paper you are reading
Do not assume every article follows the same structure or should be read in the same way.
An original empirical study, systematic review, meta-analysis, methodological paper, theoretical article, qualitative study, brief report, protocol, and commentary contain different kinds of evidence.
Before reading deeply, identify the publication type and ask what the paper can actually tell you.
A systematic review may require attention to its search, eligibility criteria, risk-of-bias assessment, and synthesis methods. An experimental study may require close examination of randomization, controls, outcomes, and analysis. A qualitative paper requires attention to sampling, data generation, analytic approach, interpretation, and reflexivity where relevant.
Efficient reading is partly about knowing what evidence should exist for the type of claim being made.
Step 3: Begin with a rapid relevance pass
Your first task is not to understand every detail. It is to decide whether deeper reading is worthwhile.
A useful first pass is:
- read the title;
- read the abstract;
- scan the section headings;
- inspect the figures and tables;
- read figure and table captions where informative;
- look at the conclusion or final discussion paragraphs;
- note obvious limitations or disclosures; and
- glance through the references.
Keshav's three-pass method similarly recommends using the first pass to obtain a general picture of the paper, including its category, context, apparent correctness, contributions, and clarity, before deciding whether another pass is warranted.
At the end of this pass, you should be able to answer three basic questions:
- What is this paper about?
- What does it appear to claim?
- Do I need to read it more carefully?
If the answer to the third question is no, stop. That is not failed reading. It is successful screening.
Step 4: Use the abstract as a map, not as the evidence
The abstract is extremely useful for orientation. It can tell you the study's purpose, broad methodology, principal findings, and authors' conclusion in a compact form. Efficient-reading guidance commonly starts with the title and abstract for precisely this reason.
But the abstract is a compressed representation of the study. It cannot contain all of the methodological qualifications, secondary findings, uncertainty, exclusions, sensitivity analyses, and limitations found in the full paper.
Watch Out
Do not cite or evaluate an important study solely from its abstract when the underlying evidence matters to your argument. Use the abstract to decide whether the paper deserves attention, then examine the sections containing the evidence you actually need.
Step 5: Find the research question before getting lost in the details
Once a paper passes your initial screen, determine exactly what the authors were trying to find out.
Look in the abstract, the end of the introduction, and any explicit objectives or hypotheses.
Try to state the question yourself in one sentence:
The authors wanted to determine whether __________ in __________ under __________.
The exact structure will vary by discipline, but the exercise forces you to identify the study's purpose before evaluating its details.
Carey and colleagues recommend repeatedly asking what the authors wanted to know, what they did, why they chose that approach, what the results show, how they interpreted them, and what should happen next.
Step 6: Do not automatically read the introduction line by line
The introduction usually establishes the problem, summarizes relevant literature, identifies the rationale or gap, and leads to the study question.
How much of it you need depends on your familiarity with the topic.
If the field is new to you, the introduction may be essential because you need the context and terminology. If you already know the literature and opened the paper for a particular result, a quicker scan may be enough.
Pay particular attention to:
- what problem the authors say exists;
- what previous evidence they consider important;
- what remains uncertain;
- why this study was needed; and
- the stated objectives or hypotheses.
You can return to background references later if they prove important.
Step 7: Treat figures and tables as high-information sections
For many empirical papers, figures and tables contain the core evidence.
Carey and colleagues describe the data as the most important part of an original scientific research paper and recommend unpacking each figure and table rather than treating them as decoration.
For each important figure, ask:
- What are the axes?
- What groups or conditions are being compared?
- What does each symbol, line, bar, or category represent?
- What is the sample size?
- What uncertainty is displayed?
- What statistical comparison was made?
- What pattern can I see before reading the authors' interpretation?
For tables, identify the variables, groups, units, denominators, estimates, uncertainty measures, and footnotes.
Then summarize the figure or table yourself in one sentence before checking how the authors describe it.
Step 8: Read the results before accepting the discussion
The Results section reports what the study found. The Discussion interprets what those findings mean.
Those are different activities.
Whenever possible, develop your own understanding of the important results before allowing the discussion to frame them for you.
Ask:
- What were the primary results?
- How large were the observed differences or associations?
- How uncertain are the estimates?
- Were the findings consistent across analyses?
- Were important outcomes null or unexpected?
- Do the tables and figures support the textual description?
Then read the discussion and compare your interpretation with the authors'.
Step 9: Read the methods according to the decision you need to make
Methods sections are where many readers either spend too much time too early or too little time when it matters.
You do not necessarily need to memorize every procedural detail. You do need enough information to judge whether the design can support the conclusion you intend to take from the paper.
Depending on the study, examine:
- research design;
- population and setting;
- sampling or recruitment;
- eligibility criteria;
- sample size;
- intervention or exposure definitions;
- measurement procedures;
- outcomes;
- comparison groups;
- data collection;
- statistical or qualitative analysis;
- handling of missing data;
- ethical procedures where relevant; and
- preregistration, protocol, or analysis-plan information when applicable.
If a figure contains a result central to your work, jump from that figure back to the methods needed to understand how the data were generated. Carey and colleagues explicitly recommend returning to methods while interpreting figures when necessary.
Step 10: Separate what the data show from what the authors say they mean
This is one of the most important habits in critical reading.
Result
What was observed or estimated from the data under the study's design and analysis.
Interpretation
What the authors believe those findings mean in relation to the question, theory, prior literature, and broader context.
The two should be connected, but they are not identical.
A statistically significant association, for example, does not automatically establish causation. A result observed in one sample does not automatically generalize to every population. A null result does not necessarily establish that no meaningful effect exists.
Published research should therefore be read critically rather than treated as established truth merely because it passed peer review. Carey and colleagues emphasize questioning authors' interpretations and considering methodological limitations, bias, confounding, and limits to generalizability.
Step 11: Read the limitations, then look for limitations the authors did not emphasize
The limitations section is useful, but it should not be your entire critical appraisal.
Authors decide which limitations to discuss and how to frame them. Your job is to consider whether other features of the design affect the conclusions.
Ask questions such as:
- Could selection bias matter?
- Could measurement error affect the result?
- Could confounding explain an association?
- Was the sample appropriate for the claim?
- Was the comparison fair?
- Were important data missing?
- Were multiple analyses conducted?
- Does the design permit the causal language being used?
- How far can the findings reasonably be generalized?
The appropriate questions vary by research design. Efficient reading should not become superficial appraisal.
Step 12: Use a deeper third pass only for papers that earn it
Some papers require close reading because they are central to your work.
Keshav's third pass involves attempting to understand the work in enough detail to reconstruct it conceptually, challenging assumptions and identifying strengths and weaknesses. This level of reading can take substantially longer and is not necessary for every paper in your search results.
A deep pass may include:
- reading the entire methods section carefully;
- checking supplementary files;
- examining the protocol or preregistration;
- reconstructing important calculations;
- checking definitions and coding decisions;
- following important references;
- examining sensitivity or robustness analyses;
- comparing the paper with related studies; and
- writing a detailed critique.
Reserve this effort for papers whose validity, methodology, or contribution genuinely matters to your project.
Step 13: Follow references when you hit an important knowledge gap
Sometimes the problem is not that a paper is badly written. You simply do not have enough background to understand it.
If an unfamiliar theory, method, equation, or earlier finding is central to the paper, pause and follow the relevant reference rather than repeatedly rereading a paragraph without the necessary context.
Carey and colleagues describe this willingness to look up terminology, consult supplementary material, and read cited references as part of understanding scientific work deeply.
Do this selectively. Following every citation can turn one paper into an endless reading tree.
Step 14: Take notes in your own words
Highlighting can show you what looked important when you read the paper. It does not necessarily show that you understood it.
For papers worth retaining, write a compact structured note such as:
- Question: What did the researchers want to know?
- Design: What did they actually do?
- Sample or data: What evidence was analyzed?
- Main result: What did they find?
- Interpretation: What do the authors think it means?
- My assessment: What are the major strengths, limitations, or unanswered questions?
- Why I saved it: How might I use this paper?
If you cannot explain the paper in your own words, you may not understand it as well as your highlights suggest.
Step 15: Know when to stop reading
Not every paper deserves completion.
You can stop when:
- the population is irrelevant to your question;
- the design cannot answer the question you are investigating;
- the paper is outside your intended scope;
- the apparently relevant title turns out to concern a different concept;
- you already have enough information for your immediate purpose; or
- another source is clearly more appropriate for the claim you need to investigate.
Efficient reading depends as much on stopping intelligently as on reading quickly.
Step 16: Change the order when the paper requires it
There is no single correct sequence for every discipline or article.
One practical clinical-reading sequence described in StatPearls begins with the title and abstract, then moves as needed through the introduction, tables and figures, results and discussion, methods, limitations, future directions, and disclosures.
A methods researcher may begin with methods. A statistician evaluating an analysis may move rapidly from the research question to the model specification and supplementary results. Someone learning a new field may need much more of the introduction.
The principle is not “always read sections in this order.” The principle is read according to your question rather than according to page order.