Evidence map›Paper›PMID 38948599›Full record

ArticleJournal of family medicine and primary care2024

Understanding metabolic patterns in polycystic ovary syndrome: Comparing lean and obese women at a family medicine clinic.

Ragunathan Arunachalam, Kalidhas Priya, Rathnasabapathy Brindha, Kumaresan Parthiban

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Targeted metabolomics and fatty acid profiling in lean and obese polycystic ovarian syndrome patients: A pilot study.European journal of obstetrics & gynecology and reproductive biology: X · 2026
    Article
  3. 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

4 authors.

Ragunathan ArunachalamDepartment of Anaesthesiology, Vinayaka Mission's Kirupananda Variyar Medical College & Hospitals, Vinayaka Mission's Research Foundation, (Deemed to be University), Salem, Tamil Nadu, India.
Kalidhas PriyaDepartment of Biochemistry, Vinayaka Mission's Kirupananda Variyar Medical College & Hospitals, Vinayaka Mission's Research Foundation, (Deemed to be University), Salem, Tamil Nadu, India.
Rathnasabapathy BrindhaDepartment of Anaesthesiology, Vinayaka Mission's Kirupananda Variyar Medical College & Hospitals, Vinayaka Mission's Research Foundation, (Deemed to be University), Salem, Tamil Nadu, India.
Kumaresan ParthibanDepartment of Evidence Synthesis, coGuide Academy, Bangalore, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Polycystic ovary syndrome (PCOS) is a heterogeneous disorder and various phenotypes have been described. While most women with PCOS are obese, women who are lean also suffer from PCOS. Metabolic derangements often accompany this syndrome. Family physicians, being the first point of contact in the healthcare system, play a vital role in the early diagnosis and management of this condition through diet and lifestyle modifications. The present study was conducted at the Diet and Lifestyle Diseases Management Division of a Family Medicine Clinic. Methods: We conducted a retrospective analysis of the correlation between body mass index (BMI) and metabolic parameters in women diagnosed with PCOS. The case records of women with PCOS, diagnosed as per modified Rotterdam criteria and who attended the outpatient clinic from January 2020 to December 2022, were chosen. Data on BMI and metabolic parameters were retrieved and statistically analyzed. Results: Upon analysis of 51 case records, 25.49% of women were in the lean group and 74.51% were overweight or obese. Triglycerides/HDL ratio (1.91 ± 0.47 vs 3.97 ± 5.89) and Vitamin D levels (Median 14.12 vs 16.10 ng/ml) were abnormal in both the obese and the lean women groups. However, there was no significant difference between the groups. Other metabolic parameters were within normal ranges. Conclusion: The present study indicates that metabolic derangements are associated with PCOS, irrespective of BMI. More robust studies in larger population samples are needed to elucidate the role of metabolic derangements and mainly insulin resistance in the pathophysiology of PCOS and its different phenotypes.

Indexed as

Body mass indexfamily physicianpolycystic ovary syndrome

Identifiers

PMID38948599
PMCPMC11213445

What Socratic holds

Textmetadata
LicenceCC BY-NC-SA
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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 Socratic graph.