Evidence map›Paper›PMID 42548955›Full record

ArticleIranian journal of public health2025

Examination of the Publication Quality of Abstracts of Systematic Reviews and Meta-Analyses on Measles, Published between 2009-2023 and Indexed in the PubMed Article Database.

Seyma Aliye Kara, Banu Cakir

Abstract read
In one paragraph

Article in Iranian journal of public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Seyma Aliye KaraPursaklar District Health Directorate, Ministry of Health, Ankara, Turkey.
Banu CakirDivision of Epidemiology, Department of Public Health, Hacettepe University Faculty of Medicine, Ankara, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Measles, a highly contagious, yet vaccine-preventable disease, is currently experiencing a notable resurge in numbers, in developing countries. With limited reading time, physicians often rely on structured summaries, and well-prepared abstracts can encourage them to read the full article, facilitating patient care. We aimed to examine the reporting quality of article abstracts about measles. Methods: Indirectly/directly address measles and its vaccine, scrutinizing on systematic reviews and meta-analyses published from 2009 to the present, and indexed in the open-access PubMed article database. With the widespread use of abstract checklists like PRISMA-A in reading systematic reviews and meta-analyses, the message intended to be conveyed can be adequately delivered to the reader by abstracts only, respecting standard rules and requirements for reporting. We used a scoring system for compliance with PRISMA-A checklist in reading measles-related reviews published over the last 15 years. Results: On average, the abstracts were "very highly" compliant with the expected reporting criteria: The year of publication (with 2020 as the timepoint) did not make any difference in reporting quality, but structured abstract were significantly more likely to convey their message in an "expected" manner, based on PRISMA-A criteria. Conclusion: Using standard guidelines in evaluating reporting quality of different publications and emphasizing its importance for the writers and readers, alike, will be encouraging for improved presentation of original/filtered research results, with the goal of conveying valid and reliable health-related information, in a time-efficient way.

Indexed as

MeaslesQuality assessmentSystematic review

Identifiers

PMID42548955
PMCPMC13429954

What OpenQuestion holds

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Registered trials

None linked

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.