Evidence map›Paper›PMID 41467740›Full record

ArticleCartilage2025

A Critical Appraisal of Reporting Bias in Systematic Reviews and Meta-Analyses Addressing Knee Chondral Defects.

Pratik Gazula, Daman P Dhunna, Kenneth T Nguyen, Jason Fink, Avanish Yendluri, Erin L Brown, John J Corvi, John D Kelly, Xinning Li, Robert L Parisien

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cartilage, 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

10 authors.

Pratik GazulaChobanian & Avedisian School of Medicine, Boston University, Boston, MA, USA.ORCID 0009-0003-3871-6215
Daman P DhunnaChobanian & Avedisian School of Medicine, Boston University, Boston, MA, USA.ORCID 0000-0002-8746-5489
Kenneth T NguyenTulane University School of Medicine, New Orleans, LA, USA.ORCID 0009-0005-8303-367X
Jason FinkPhiladelphia College of Osteopathic Medicine, Philadelphia, PA, USA.ORCID 0009-0007-3340-3403
Avanish YendluriDepartment of Orthopaedics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0009-0005-3383-8138
Erin L BrownTulane University School of Medicine, New Orleans, LA, USA.ORCID 0009-0005-1982-2316
John J CorviDepartment of Orthopaedics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
John D KellyDepartment of Orthopaedics, University of Pennsylvania, Philadelphia, PA, USA.
Xinning LiDepartment of Orthopaedics, Boston University, Boston, MA, USA.
Robert L ParisienDepartment of Orthopaedics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IntroductionKnee chondral defects are a common cause of pain and dysfunction. This study assessed the prevalence of spin and methodological quality of systematic reviews and meta-analyses on knee chondral defects in orthopedic literature.MethodsFollowing PRISMA guidelines, a systematic review was conducted in May 2025 using PubMed, Web of Science, and Embase. Reviews addressing knee chondral defects in orthopedics were included. Abstracts were evaluated for 15 spin types, and methodological quality was rated using AMSTAR 2. Data on PRISMA adherence, publication year, and Level of Evidence were extracted. Associations between study characteristics and spin were analyzed using

Indexed as

AMSTAR 2kneeknee articular cartilage defectsknee chondral defectsknee focal cartilage defectmeta-analysisreporting biasspin biassystematic review

Identifiers

PMID41467740
PMCPMC12753341

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.