As a medical student, you’ve probably already developed a habit of reading research papers. And if you’re like many of your peers, you’ve adopted a particular way of doing it: perhaps you take a glance at the abstract, then skim the discussion, take away a pearl of knowledge or two, and move on with your day. If this works for you, why change anything? Why even consider a guide on how to read a research paper quickly?
The truth is, learning how to read a research paper quickly isn’t about skimming or rushing through the paper. It’s about making the best use of your time by knowing how to quickly identify and interpret the information that matters most. ⏰
Remember, a research paper is not the same as a textbook! With class readings, you’re extracting facts—conversely, you’ll be reading a research paper with the intent to make a clinical decision. In practice, you might be asked by your residents, attendings, or sometimes even your patients how you came to a recommendation. That means for each article you read and present, it’s helpful to think: “Will this change what I recommend in some way? And if so, why?”
To help you read a research paper (quickly) with those questions in mind, this post walks through a framework for reading papers critically, in an order that makes sense, and flags the specific things worth slowing down for in each section. The goal isn’t to skip important details—rather, it’s to hone your ability to identify where the most valuable information lives. Let’s begin!
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First, Decide Whether the Research Paper Is Worth Reading
A quick look can save you from wasting time on a paper that might not even hold up.
If you’re wondering whether to bother reading an article, there are steps you can take to see if it’s likely to yield actionable information.
These include the following:
1. Start by checking where it was published.
Journal reputation and peer review rigor vary significantly, and while impact factor is an imperfect proxy, a totally unknown journal is rarely worth reading. Be aware that there are, unfortunately, predatory journals that’ll publish almost anything for the right price.
2. Read the funding and conflict of interest statements.
The funding and conflict-of-interest (COI) statements, which are usually tucked at the end of the paper, are worth considering.
In my view, it’s always a good idea to take a peek at who wrote an article and who paid for it. Take for example, a drug trial that’s funded entirely by the drug’s manufacturer. It doesn’t mean the conclusions of the study are automatically wrong, but they should be taken with a slightly higher level of scrutiny.
3. See what research methodology was used.
There are many different research methodologies, such as randomized controlled trials, cohort studies, case-control studies, systematic reviews, and case reports. These sit at very different levels of the evidence hierarchy, and that alone can help you calibrate how much weight you give the findings.
4. Find out when it was published.
Finally, check how old the paper is. Medicine moves fast, and a landmark trial from years ago may have already been superseded by more recent data.
If Yes, Try Reading the Research Paper Backwards
Let’s say an article looks promising after your initial assessment. Now it’s time to read it like a clinician would.
If you’re like most people, you’ve been reading papers in the order they’re written (just like anything else). You start with the abstract, go to the introduction, then methods, and so on. That order is optimized for storytelling, and that’s why research papers are organized, submitted, and published in that manner.
However, when it comes to critical appraisal, try reading it in a different order.
Here’s a brief outline (we’ll have more on each section shortly) of the reading order:
1. Start with the abstract, but only to get oriented.
Don’t let the abstract convince you of the study’s value. Just read it to get your bearings.
2. Jump ahead to the methods.
Do this to see how the study was conceived and what methodology was used.
3. Check out the results.
Because you just evaluated the method section, you can determine how trustworthy the results are. Review the tables and figures yourself and see if you can make sense of them before reading the authors’ interpretation.
4. Read the discussion and the conclusion.
Only after you’ve gone through the first three steps should you read the discussion and conclusion. Think about what the authors claim and compare that to what you already decided the data show.
Pro tip: You can read research papers quickly by skimming the introduction, since it’s mostly background and justification rather than evidence.
Reading in this order allows you to form your own opinion of the data before the authors convince you of theirs.
How to Read a Research Paper Quickly: Section by Section Tips
Now that we’ve laid out the basic approach, here are some more detailed tips (presented in the normal order) on what to pay attention to section by section.
1. The Abstract
It’s important to understand the abstract is the marketing, NOT the evidence. It’s written to be compelling and enticing. It draws you into the story of the research and why it’s necessary. The abstract shares the significance of the problem and makes you wonder how that problem can be solved and if the researcher’s solution was optimal.
The PICO Framework
What you want to glean from this section is PICO, which you can use to decide whether the paper is relevant enough to read fully.
The PICO framework stands for:
P: Patient, Population, or Problem
Who or what is being studied? (e.g., age, condition, demographics).
I: Intervention
What is the main treatment, test, or exposure being investigated?
C: Comparison
What is the alternative to the intervention?
O: Outcome
What are you measuring or hoping to accomplish?
It may be good to take a look at a research question just to see how the PICO framework can be applied.
For example: “In adults with type 2 diabetes, does a Mediterranean diet compared with a standard low-fat diet improve blood glucose levels in a one-year time frame?”
In this example, the PICO framework would be:
P: Adults with Type II Diabetes
I: Mediterranean diet
C: Standard diet
O: Blood glucose levels
PICO is a great approach to use when you’re checking out an abstract. It can give you some good information about the basic set up of the study and what the findings were.
2. The Introduction
The introduction answers one question: why did this study need to happen? It will usually build a case for a gap in existing knowledge or show the lack of research up until this study.
Be aware of background citations that seem cherry-picked to support the authors’ hypothesis rather than represent the full state of the literature on the subject.
3. The Methods
The methods section is the one that matters most. If you only have time to read one section carefully, make it this one, because everything that follows (from the results to the conclusion) is only as reliable as the methods that produced it.
As you read the methods section, ask whether the study design actually matches the question being asked. For instance, you can’t establish causation with purely cross-sectional study.
You might also closely examine the population and ask:
- What were the inclusion and exclusion criteria?
- How representative is this sample of the patients I’ll actually see?
- How large is the sample size? Is a group of 50 cherry-picked individuals really going to tell you that much about the general population?
These are the questions you should train yourself to ask. Consider checking whether the sample size was justified by a power calculation, or whether this is an underpowered study dressed up with an overly confident conclusion. If randomization or blinding was used, look at how it was done and by whom, since a poorly described process can be a red flag.
4. The Results
When you get to the results section, look at the tables and figures with your own eyes before you read a single sentence of the authors’ descriptions. Have the first impression of the data as your own.
Separate statistical significance from clinical significance in your mind: a p-value under 0.05 tells you an effect probably isn’t due to chance, but it tells you nothing about whether that effect is big enough to matter for a real patient population.
Look at confidence intervals as well, since a wide interval means the true effect could be much smaller or larger than the headline number suggests.
Pay close attention to absolute risk versus relative risk, which is the single most common way results get oversold. You might think that a “50% risk reduction” sounds dramatic and really is the cat’s meow, but if the baseline risk was 1% and it dropped to 0.5%, then it’s not as big of a deal.
5. The Discussion
The discussion section is where authors interpret their results. In this section, it’s important to consider whether the findings you just read about would generalize to the patients in a specific or general population, or if the study population was narrower than the conclusions imply.
6. The Conclusion
A good conclusion is modest and stays tethered to what was actually measured. A common mistake to look out for is a conclusion that outruns the data of the study, for example, a report that measures a lab value but concludes with language implying a direct effect on hard clinical outcomes it never actually assessed.
The references, funding sources, and conflict-of-interest statements are easy to skip, but worth a glance. Excessive self-citation, or a funding source that lines up suspiciously neatly with a favorable result, doesn’t invalidate a paper, but it’s useful context for how much weight to give.
Core Concepts for Reading a Research Paper
A handful of ideas come up in almost every critical appraisal and are worth knowing. These include the following:
1. Consider the bias that could influence the research paper.
Bias comes in several recurring flavors, including selection bias, confounding, recall bias, and publication bias, the last of which refers to the fact that positive results get published more often than negative ones, which skews the literature as a whole.
2. Correlation doesn’t equal causation!
It’s also worth noting to keep correlation and causation separate in your head, since an association between two things is not direct evidence that one causes the other.
3. Statistical significance isn’t always significant.
Above all, remember that statistically significant doesn’t mean true, and doesn’t mean important. Keep those three ideas separate permanently. It simply means that an observed result in the data is highly unlikely to have occurred by random chance alone.
Final Thoughts
Hopefully after reading this, you’ll start reading research papers (quickly) with a new, clinically-oriented perspective. Please keep in mind though, critical appraisal isn’t a one-time checklist you memorize for a test! Rather, it’s a skill you build through repetition, ideally with feedback from someone more experienced than you.
One of the best things you can do is to critically read a research paper and then compare notes with a colleague. Then, once you’ve built up some experience, read a paper with your research mentor and see how someone who’s been published might examine and scrutinize a paper. The goal isn’t to become cynical about research, but to become someone who can tell the difference between a paper that should change practice and one that just looks like it should.
Use the framework we’ve outlined here, read papers and compare notes with colleagues you respect, and you’ll soon be reading articles like a clinician, not a student. Happy reading, and be sure to reach out if you have any questions!
For more (free!) tips for med students, check out these other posts on the blog:
