Evidence map›Paper›PMID 33400176›Full record

ArticleEndocrine2021

Waist-to-height ratio and BMI as predictive markers for insulin resistance in women with PCOS in Kolkata, India.

Koushik Bhattacharya, Pallav Sengupta, Sulagna Dutta, Prasenjit Chaudhuri, Lipika Das Mukhopadhyay, Alak Kumar Syamal

Abstract read
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In one paragraph

Article in Endocrine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
6.7field-weighted citation impact, top 3% of its field
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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
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  3. Correlation of anthropometric parameters with serum progesterone levels for the prediction of ovulation in infertile women in Ile-Ife, Nigeria.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026
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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 at 4 institutions in 2 countries.

Koushik BhattacharyaPost Graduate Department of Physiology, Hooghly Mohsin College, University of Burdwan, Bardhaman, West Bengal, India.
Pallav SenguptaFaculty of Medicine, Bioscience and Nursing, MAHSA University, Jenjarom, Selangor, Malaysia.
Sulagna DuttaFaculty of Dentistry, MAHSA University, Jenjarom, Selangor, Malaysia.
Prasenjit ChaudhuriDepartment of Physiology, Government General Degree College, Paschim Medinipur, West Bengal, India.
Lipika Das MukhopadhyayDepartment of Obstetrics and Gynecology, KPC Medical College, Jadavpur, Kolkata, West Bengal, India. drlipikamukhopadhyay@yahoo.in.
Alak Kumar SyamalPost Graduate Department of Physiology, Hooghly Mohsin College, University of Burdwan, Bardhaman, West Bengal, India. alaksyamal@gmail.com.
Mahsa University · MYUniversity of Burdwan · INGovernment of West Bengal · INKPC Medical College and Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePolycystic ovarian syndrome (PCOS) is most commonly presented with insulin resistance (IR). Simple anthropometric indices may serve as surrogate markers of these conditions with population-based cut-off values. The present study suggests the cut-off values of waist-to-height ratio (WHtR) and body mass index (BMI) in early prediction of PCOS and IR in PCOS women based in Kolkata, a major metropolitan city in India.

methodsThis cross-sectional study included 66 women (aged 16-30 years) from Kolkata, India, with confirmed PCOS, using Rotterdam criteria. IR was defined following the homeostasis model assessment (HOMA). Anthropometric and biochemical data were obtained using standard protocol and compared among the PCOS subjects grouped as per IR prevalence, BMI, and WHtR values. The receiver operating characteristics (ROC) curve was applied to evaluate and compare the cut-off values of WHtR and BMI in the prediction of PCOS and IR in women with PCOS.

resultsAs per ROC analysis, WHtR showed significantly higher AUC in the detection of PCOS and IR in PCOS subjects respectively, than that of BMI. The cut-off values of WHtR and BMI for PCOS were 0.560 and 28.47 respectively, and for IR in PCOS patients, were 0.620 and 29.14 respectively.

conclusionsThe present study suggests a cut-off value of WHtR to be used as an inexpensive and noninvasive screening tool for early prediction of PCOS and IR among PCOS afflicted women based in Kolkata, India and for this prediction, the study also claims WHtR as a better index than BMI.

Indexed as

Insulin ResistancePolycystic Ovary SyndromeBiomarkersBody Mass IndexCross-Sectional StudiesFemaleHumansIndiaObesityBiomarkersBMIInsulin resistanceObesityPCOSWHRWHtR

Identifiers

PMID33400176
OpenAlexW3120366796

What OpenQuestion holds

Textmetadata
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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.