Evidence map›Paper›PMID 36088293›Full record

ArticleBMC medical research methodology2022

Conclusiveness, linguistic characteristics and readability of Cochrane plain language summaries of intervention reviews: a cross-sectional study.

Aleksandra Banić, Mahir Fidahić, Jelena Šuto, Rea Roje, Ivana Vuka, Livia Puljak, Ivan Buljan

Registry-linked trialAbstract read
In one paragraph

Article in BMC medical research methodology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07140107 (Patients' Perceptions and Comprehension of Original Versus AI-Generated Plain Language Summaries of Cochrane Oncology Systematic Reviews), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT07140107 naenrolling by invitationnot on this mapstarted 2025, after this paper: background citation

Patients' Perceptions and Comprehension of Original Versus AI-Generated Plain Language Summaries of Cochrane Oncology Systematic Reviews

TypeinterventionalSponsorUniversity of Split, School of MedicineRan2025 to 2026Enrolled130ConditionsNon-Metastatic Breast CancerArmsAI-generated PLS, Original PLS
3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Aleksandra BanićTranslational Research in Biomedicine, University of Split, School of Medicine, Šoltanska 2, Split, 21000, Croatia. sandra.banic2410@gmail.com.
Mahir FidahićFaculty of Medicine, University of Tuzla, Dr. Tihomila Markovića 1, Tuzla, 75000, Bosnia and Herzegovina.
Jelena ŠutoDepartment of Oncology, School of Medicine, University Hospital Center Split, University of Split, Spinčićeva 5, Split, 21000, Croatia.
Rea RojeTranslational Research in Biomedicine, University of Split, School of Medicine, Šoltanska 2, Split, 21000, Croatia.
Ivana VukaTechnology Transfer Office, Department for Science and Innovation, University of Split, Ruđera Boškovića 31, Split, 21000, Croatia.
Livia PuljakCenter for Evidence-Based Medicine and Healthcare, Catholic University of Croatia, Ilica 242, Zagreb, 10000, Croatia.
Ivan BuljanDepartment of Research in Biomedicine and Health, Cochrane Croatia, University of Split, School of Medicine, Šoltanska 2, Split, 21000, Croatia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne of the most important formats to disseminate the evidence in health to different populations are Cochrane Plain Language Summaries (PLSs). PLSs should be written in a simplified language, easily understandable and providing clear message for the consumer. The aim of this study was to examine the extent to which PLSs are customized for lay persons, specifically by providing conclusive, comprehensible, and readable messages.

methodsThe study analyzed Cochrane PLSs of interventional studies (N = 4360) in the English language published from 1995 to 2019. We categorized the conclusiveness into one of the following categories: "positive", "positive inconclusive", "no evidence", "no opinion", "negative", "negative inconclusive", "unclear", "equal", "equal inconclusive". Language characteristics were analyzed using Linguistic Inquiry and Word Count (LIWC) software. The level of readability was measured by SMOG (Simple Measure of Gobbledygook) index, indicating the number of years of education required to read the text. For each PLS, we also collected the following data: Cochrane Review Network, year of publication and number of authors.

resultsMost of the PLSs (80%) did not have a conclusive message. In 53% PLSs there was no concluding opinion about the studied intervention or the conclusion was unclear. The most frequent conclusiveness category was "no opinion" (30%), and its frequency increased over time. The conclusiveness categories were similarly dispersed across Cochrane Networks. PLSs were written in an objective style, with high levels of analytical tone and clout above neutral, but a lower relation to authenticity and tone. The median number of years of non-specific education needed to read the PLSs was 14.9 (IQR 13.8 to 16.1), indicating that the person needs almost 15 years of general education to read the content with ease.

conclusionMost of the Cochrane PLSs provided no concluding opinion or unclear conclusion regarding the effects of analyzed intervention. Analysis of readability indicated that they may be difficult to read for the lay population without medical education. Our results indicate that PLSs may not be so plain, and that the writing of Cochrane PLSs requires more effort. Tools used in this study could improve PLSs and make them better suited for lay audiences.

Indexed as

ComprehensionLanguageCross-Sectional StudiesHumansLinguisticsReadingCochrane plain language summaryConclusivenessLIWC (linguistic inquiry and word count)Readability

Identifiers

PMID36088293
PMCPMC9464378

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.