Evidence map›Paper›PMID 39560309›Full record

ArticleFuture science OA2024

Examining symptom and quality of life in polycystic ovarian syndrome: a web-based cross-sectional study.

Rukaiah Fatma Begum, Chitra Vellapandian, Sumithra Mohan

Abstract read
In one paragraph

Article in Future science OA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  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.

Rukaiah Fatma BegumDepartment of Pharmacology, SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Tamil Nadu, India.
Chitra VellapandianDepartment of Pharmacology, SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Tamil Nadu, India.
Sumithra MohanDepartment of Pharmacology, SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPolycystic Ovarian Syndrome (PCOS) is a reproductive disorder that significantly impacts women's quality of life (QOL). Its unclear etiology, whether genetic or environmental, and the treatments associated with it have been widely studied globally. RESEARCH DESIGN AND

methodsThis study assessed the QOL of 108 women with PCOS, examining both physical and mental symptoms. Participants completed the Short Form-12 (SF-12) questionnaire through a web-based survey to evaluate their QOL scores.

resultsCommon symptoms included menstrual irregularity (73.14%), hirsutism (65.7%), acne (62.03%), and obesity (22.22%). Complications such as diabetes mellitus (12.9%), hypertension (2.78%), infertility (1.85%), miscarriages (31.4%), hyperandrogenism (68.51%), and insulin resistance (28.7%) were reported. Patients with infertility had the lowest physical scores (PCS), while those working night shifts had the lowest mental scores (MCS).

conclusionPCOS significantly affects QOL, with infertility contributing to the lowest physical scores and night shift work correlating with the lowest mental scores. These findings emphasize the need for integrated psychological and physical care, particularly for young working women with PCOS.

Indexed as

mental score (MCS)physical score (PCS)Polycystic ovarian syndrome (PCOS)Quality of Life (QOL)SF-12 questionnaire

Identifiers

PMID39560309
PMCPMC11581186

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.