Evidence map›Paper›PMID 38983727›Full record

ArticleF&S reports2024

Productivity loss due to polycystic ovary syndrome and its relationship to race, mental health and healthcare delivery indices.

Heather Gibson Huddleston, Alexander Milani, Rachel Blank

Abstract read
In one paragraph

Article in F&S reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

3 authors.

Heather Gibson HuddlestonDepartment of Obstetrics, Gynecology and Reproductive Sciences, University of California-San Francisco, San Francisco, California.
Alexander MilaniAllara, New York, New York.
Rachel BlankAllara, New York, New York.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To study the impact of polycystic ovary syndrome (PCOS) on work-related impairments and explore relationships with race, mental health, and healthcare delivery indices. Design: A cross-sectional internet-based survey. Setting: North American women with PCOS between August 2022 and October 2022. Patients: Individuals with a self-reported diagnosis of PCOS. Interventions: Not applicable. Main Outcome Measures: The primary outcome was missed work because of PCOS. The secondary outcomes included leave from work, impacts on the quality of work, and feelings of being held back at work because of PCOS. Results: Of 1,105 respondents, 1,058 reported having PCOS diagnosed by a physician. Of this group, 50.4% reported missing work because of PCOS, 72% felt that PCOS impacted the quality of their work, and 51.5% felt held back at work by PCOS. Multivariate analyses revealed that missing work because of PCOS was independently associated with black race, lack of insurance, requiring multiple doctors for a PCOS diagnosis, needing ≥3 doctors for current care, decreased satisfaction with care, and symptoms of anxiety and depression. Conclusions: Polycystic ovary syndrome significantly impacts employment-related productivity. Factors such as race, mental health, and healthcare delivery appear to play a crucial role in the extent of this impact.

Indexed as

healthcare deliverymental healthPCOSproductivity lossrace

Identifiers

PMID38983727
PMCPMC11228788

What OpenQuestion holds

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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.