Literature review abstract screening

Screen the titles and abstracts of a literature search against your inclusion criteria before you read the full texts.

Run this on your file Download the template CSV

Before you run it: Replace the population, outcome and include questions with your own inclusion criteria. You can edit every question in the runner.

Columns to upload

Name the columns in your CSV like this. Extra columns are fine: every column of the row is sent with the questions.

Column	What it holds
`title`	Paper title
`abstract`	Abstract
`year`	Publication year

Questions

Each question adds a column to your file. The answer is one of the listed values, or Unsure when the model's confidence is below the cutoff: 70% for pick-one and scale questions, 80% for yes or no.

New column	Question	Possible answers
`design`Pick one	What is the study design?	randomized trial Participants randomly assigned to groups cohort A group followed over time case-control People with an outcome compared with people without it cross-sectional Measured at one point in time review A review or meta-analysis of other studies other Any other design, or not stated
`population`Yes or no	Does the study include adults aged 18 or over?	yes The abstract says the participants are adults no The participants are children or animals, or the age is not stated
`outcome`Yes or no	Does the study measure cardiovascular outcomes?	yes The abstract names a heart or blood-vessel outcome, such as blood pressure, heart attack or stroke no It names no heart or blood-vessel outcome
`include`Yes or no	Should this paper go to full-text review: a primary study, on adults, measuring cardiovascular outcomes?	yes It meets all three criteria no It fails at least one criterion

Example row

Column	Value
`title`	Moderate wine intake and blood pressure in older adults: a 10-year follow-up
`year`	2021
`abstract`	We followed 2,400 adults aged 60 to 75 for ten years and recorded weekly wine intake and systolic blood pressure...

Answers from a test run on this row

Column	Answer	Confidence
`design`	cohort	100%
`population`	yes	94%
`outcome`	yes	94%
`include`	yes	87%

More research use cases

Use case	What it does	New columns
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User interview snippets	Tag quotes from user interviews by the pain they describe and how serious it is.	`pain_point` `severity` `workaround` `feature_request`
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App store reviews	Sort app reviews into bugs, requests and praise, and see which version the problems come from.	`category` `sentiment` `crash`
Social listening posts	Code public posts about a topic by stance, and separate first-hand experience from repeated claims.	`on_topic` `stance` `first_hand` `health_claim`