Evidence map›Paper›PMID 41054717›Full record

ArticleF&S reports2025

Gaps and opportunities in polycystic ovary syndrome care-a qualitative study.

Alexander Z Zhang, Madeleine Sehrt, Sara A Ley, Kaitlin V Ross, Phoutdavone Phimphasone-Brady, Kathryn M McKenney

Abstract read
In one paragraph

Article in F&S reports, 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

6 authors.

Alexander Z ZhangSchool of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
Madeleine SehrtDepartment of Obstetrics and Gynecology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
Sara A LeyDepartment of Obstetrics and Gynecology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
Kaitlin V RossDepartment of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
Phoutdavone Phimphasone-BradyDepartment of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
Kathryn M McKenneyDepartment of Obstetrics and Gynecology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To understand perceived shortcomings in polycystic ovary syndrome (PCOS) diagnosis and care among individuals living with PCOS. Design: Qualitative study conducted at a university hospital Obstetrics and Gynecology clinic. Subjects: Individuals diagnosed with or suspected to have PCOS. Exposure: Virtual focus groups with semistructured questions. Main Outcome Measures: Participants' diagnosis with, management of, and ideal care approach for PCOS. Results: Among 24 participants, 3 primary themes emerged: (1) symptom dismissal before diagnosis of PCOS negatively contributes to wellbeing, (2) goals of care between providers and participants were perceived as misaligned, often focusing exclusively on weight management and fertility, and (3) participants found self-advocacy as a necessary means to seek answers, resulting in use of social media as their main source of information. Conclusion: PCOS is a complex condition in which symptoms are often dismissed by providers, leading to frustration and delay in care for individuals. These study results emphasize a need for greater educational resources and a revised approach toward more comprehensive management of PCOS.

Indexed as

goal misalignmentmultidisciplinary carePCOSself-advocacysymptom dismissal

Identifiers

PMID41054717
PMCPMC12496442

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.