Evidence map›Paper›PMID 40831807›Full record

ArticleCureus2025

Etiological Factors Associated With Abnormal Uterine Bleeding Among Adult Women Presenting to Tertiary Healthcare Settings.

Reeta Bai, Aneela Ashraf, Sadia Shoeb, Zeeshan Hussain, Maira, Farah Tabassum

Abstract read
In one paragraph

Article in Cureus, 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.

Reeta BaiObstetrics and Gynecology, Sheikh Saeed Memorial Campus, The Indus Hospital and Health Network, Karachi, PAK.
Aneela AshrafObstetrics and Gynecology, Sheikh Saeed Memorial Campus, The Indus Hospital and Health Network, Karachi, PAK.
Sadia ShoebObstetrics and Gynecology, Sheikh Saeed Memorial Campus, The Indus Hospital and Health Network, Karachi, PAK.
Zeeshan HussainUnderwater and Hyperbaric Medicine, Pakistan Navy Station (PNS) Shifa Hospital, Karachi, PAK.
MairaObstetrics and Gynecology, Sheikh Saeed Memorial Campus, The Indus Hospital and Health Network, Karachi, PAK.
Farah TabassumObstetrics and Gynecology, Sheikh Saeed Memorial Campus, The Indus Hospital and Health Network, Karachi, PAK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAbnormal uterine bleeding (AUB) is a common gynecological condition affecting women of reproductive age and is associated with quality of life, physical well-being, and healthcare impact. AUB has varying etiologies classified as structural or non-structural, which influence clinical presentation and patient outcomes. The purpose of this study was to determine the prevalence of AUB etiological determinants in women of reproductive age and to evaluate the role of these sociodemographic factors affecting their prevalence.

methodsIt is a cross-sectional observational study conducted over six months in a tertiary care hospital in Karachi. Non-probability consecutive sampling was used to recruit 171 women diagnosed with AUB and aged between 18 and 45 years. Clinical examination and transvaginal ultrasound were used to assess participants. Information on ages, body mass index (BMI), parity, educational level, socioeconomic status, and place of residence was collected.

resultsThe average age was 39.17 ± 5.24 years, and the BMI was 27.94 ± 5.96 kg/m

conclusionLeiomyomas and polyps were found to be the most common underlying causes of AUB among reproductive-age women, where structural factors were more prevalent among less well-educated women and patients with limited healthcare access.

Indexed as

adenomyosisendometrial polypsetiologyleiomyomauterine hemorrhageuterine hemorrhage/diagnosis

Identifiers

PMID40831807
PMCPMC12359111

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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.