Evidence map›Paper›PMID 42635967›Full record

ArticleOsteoarthritis imaging2026

The association between infrapatellar fat pad volume and knee pain in non-obese postmenopausal women.

Nima Yazdankhah, Vahid Anwari, Siwen Liu, Emily Ha, Andy Kin On Wong

Abstract read
In one paragraph

Article in Osteoarthritis imaging, 2026. 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
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0citing papers in PubMed
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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

5 authors.

Nima YazdankhahSchroeder Arthritis Institute, University Health Network, Toronto, ON, Canada; Joint Department of Medical Imaging, University Health Network, Toronto, ON, Canada. Electronic address: nima.yazdankhah@uhn.ca.
Vahid AnwariSchroeder Arthritis Institute, University Health Network, Toronto, ON, Canada; Joint Department of Medical Imaging, University Health Network, Toronto, ON, Canada. Electronic address: vahid.anwari@uhn.ca.
Siwen LiuSchroeder Arthritis Institute, University Health Network, Toronto, ON, Canada; Joint Department of Medical Imaging, University Health Network, Toronto, ON, Canada; Rehabilitation Sciences Institute, University of Toronto, Toronto, ON, Canada. Electronic address: siwennn@gmail.com.
Emily HaSchroeder Arthritis Institute, University Health Network, Toronto, ON, Canada; Joint Department of Medical Imaging, University Health Network, Toronto, ON, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada. Electronic address: emily.ha@mail.utoronto.ca.
Andy Kin On WongSchroeder Arthritis Institute, University Health Network, Toronto, ON, Canada; Joint Department of Medical Imaging, University Health Network, Toronto, ON, Canada; Rehabilitation Sciences Institute, University of Toronto, Toronto, ON, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada. Electronic address: andy.wong@uhn.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe infrapatellar fat pad (IPFP) is a significant source of pro-inflammatory cytokines and may be related to knee pain. The study aim was to determine the association between knee symptoms and each of IPFP size from knee MRI and density from peripheral (p) QCT knee images in non-obese postmenopausal women.

methodsPostmenopausal women 50-85 yrs old with a body mass index (BMI) < 30 kg/m

resultsAmong 47 women (mean age: 61.2(8.82) yrs, BMI:22.5(3.2) kg/m

conclusionsA denser and thinner IPFP cross-sectional area but with larger overall volume - suggesting a long, dense, and skinny phenotype - may be a correlate of having more knee pain in postmenopausal women.

Indexed as

Fat padInfrapatellarKnee symptomsMRINon-obeseOsteoarthritisPostmenopausal womenpQCTTibiofemoral

Identifiers

PMID42635967
PMCPMC13590912

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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.