Evidence map›Paper›PMID 32962205›Full record

ArticleJournal of clinical medicine2020

Effect of Central Obesity and Hyperandrogenism on Selected Inflammatory Markers in Patients with PCOS: A WHtR-Matched Case-Control Study.

Małgorzata Kałużna, Magdalena Człapka-Matyasik, Katarzyna Wachowiak-Ochmańska, Jerzy Moczko, Jolanta Kaczmarek, Adam Janicki, Katarzyna Piątek, Marek Ruchała, Katarzyna Ziemnicka

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
6.4field-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

26 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Study of association between serum anti-Müllerian hormone, glucose intolerance, and metabolic syndrome in women with polycystic ovarian syndrome: A comparative study.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. A Review onGenes · 2022
    Review
  19. Article
  20. 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

9 authors at 3 institutions in 1 country.

Małgorzata KałużnaDepartment of Endocrinology, Metabolism and Internal Diseases, Poznan University of Medical Sciences, 49 Przybyszewskiego St, 60-355 Poznań, Poland.ORCID 0000-0002-2116-4384
Magdalena Człapka-MatyasikDepartment of Human Nutrition and Dietetics, Poznan University of Life Sciences, Wojska Polskiego 28, 60-637 Poznan, Poland.ORCID 0000-0002-6085-4855
Katarzyna Wachowiak-OchmańskaWard of Endocrinology, Metabolism and Internal Diseases Ward, Heliodor Święcicki Clinical Hospital, 49 Przybyszewskiego St, 60-355 Poznań, Poland.
Jerzy MoczkoDepartment of Computer Science and Statistics, Poznan University of Medical Sciences, 7 Rokietnicka St, 60-806 Poznań, Poland.
Jolanta KaczmarekCentral Laboratory, Heliodor Swiecicki University Hospital, 49 Przybyszewskiego St, 60-355 Poznań, Poland.ORCID 0000-0002-7045-744X
Adam JanickiDepartment of Endocrinology, Metabolism and Internal Diseases, Poznan University of Medical Sciences, 49 Przybyszewskiego St, 60-355 Poznań, Poland.
Katarzyna PiątekDepartment of Endocrinology, Metabolism and Internal Diseases, Poznan University of Medical Sciences, 49 Przybyszewskiego St, 60-355 Poznań, Poland.
Marek RuchałaDepartment of Endocrinology, Metabolism and Internal Diseases, Poznan University of Medical Sciences, 49 Przybyszewskiego St, 60-355 Poznań, Poland.ORCID 0000-0002-6296-7220
Katarzyna ZiemnickaDepartment of Endocrinology, Metabolism and Internal Diseases, Poznan University of Medical Sciences, 49 Przybyszewskiego St, 60-355 Poznań, Poland.ORCID 0000-0001-5377-8834
Poznan University of Medical Sciences · PLHeliodor Swiecicki Clinical Hospital · PLUniversity of Life Sciences in Poznań · PL

Funding

Poznan University of Medical Sciences, Faculty of Medicine II - "Young Scientists" grant awarded in 2016 502-14-02221355-41164
6 · The paper itself

Abstract

White blood cell counts (WBC), lymphocyte-to-monocyte ratio (LMR), and monocyte-to-high-density lipoprotein cholesterol ratio (MHR) are used as chronic inflammation markers. Polycystic ovary syndrome (PCOS) is a constellation of systemic inflammation linked to central obesity (CO), hyperandrogenism, insulin resistance, and metabolic syndrome. The waist-to-height ratio (WHtR) constitutes a highest-concordance anthropometric CO measure. This study aims to access WBC, LMR, and MHR in PCOS and healthy subjects, with or without CO. Establishing relationships between complete blood count parameters, high-sensitivity C-reactive protein (hsCRP), and hormonal, lipid and glucose metabolism in PCOS. To do this, WBC, LMR, MHR, hsCRP, anthropometric, metabolic, and hormonal data were analyzed from 395 women of reproductive age, with and without, PCOS. Correlations between MHR, and dysmetabolism, hyperandrogenism, and inflammation variables were examined. No differences were found in WBC, LMR, MHR, and hsCRP between PCOS and controls (

Indexed as

high-sensitivity C-reactive protein (hsCRP)hyperandrogenisminsulin resistance (IR)lymphocyte-to-monocyte ratio (LMR)metabolic syndrome (MS)monocyte-to-high-density lipoprotein cholesterol ratio (MHR)polycystic ovary syndrome (PCOS)systemic inflammationwaist-to-height ratio (WHtR)white blood cell counts (WBC)

Identifiers

PMID32962205
PMCPMC7565377
OpenAlexW3087087963

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.