Evidence map›Paper›PMID 35454373›Full record

ArticleMedicina (Kaunas, Lithuania)2022

Quantitative Changes in White Blood Cells: Correlation with the Hallmarks of Polycystic Ovary Syndrome.

Abdulrahman H Almaeen, Abdulrahman Abdulwahab Alduraywish, Mudasar Nabi, Naveed Nazir Shah, Rahiman Shaik, Bilal Ahmad Tantry

Open access · goldAbstract read
In one paragraph

Article in Medicina (Kaunas, Lithuania), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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  5. Article
  6. Review
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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 3 institutions in 2 countries.

Abdulrahman H AlmaeenDepartment of Pathology, College of Medicine, Jouf University, Sakaka 70214, Saudi Arabia.ORCID 0000-0001-9267-2637
Abdulrahman Abdulwahab AlduraywishDepartment of Internal Medicine, College of Medicine, Jouf University, Sakaka 70214, Saudi Arabia.
Mudasar NabiDepartment Biochemistry, Kashmir University, Srinagar 190006, India.
Naveed Nazir ShahDepartment of Respiratory Medicine Chest Diseases Hospital, Government Medical College Srinagar, Srinagar 190001, India.
Rahiman ShaikDepartment of Biochemistry, Ex-Faculty, Jouf University, Sakaka 70214, Saudi Arabia.
Bilal Ahmad TantryDepartment of Microbiology, Government Medical College Srinagar, Srinagar 190001, India.
Jouf University · SAGovernment Medical College · INUniversity of Kashmir · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: In women of reproductive age, leukocytosis is a risk factor that bridges low-grade chronic inflammation (metabolic inflammation), metabolic changes, and polycystic ovary syndrome (PCOS) and is a potential early predictor of PCOS. This study aims to explore the predictive role of quantitative changes in white blood cells (WBCs) and neutrophils in PCOS-associated metabolic changes. Materials and Methods: A total number of 176 blood samples were obtained from age-matched women of the reproductive period, comprising 88 PCOS cases and 88 healthy controls. Hematological, metabolic, and anthropometric indices and ultrasonic assessment were recorded. Results: Elevated levels of luteinizing hormone, testosterone, and lipid parameters except HDL-C levels, and the prevalence of metabolic syndrome in PCOS were statistically significant (p < 0.001). The neutrophil count and neutrophil−lymphocyte ratio (NLR) in PCOS patients were significantly higher (p < 0.001) than their counterparts. The predictive ability of the neutrophil count and neutrophil−lymphocyte ratio (NLR) for PCOS, and possibly its associating subclinical inflammation at optimum cut-off values for the neutrophil count and NLR of >46.62% (sensitivity 94.32% and specificity 74.42%) and >1.23 (sensitivity 71.59% and specificity 100%), respectively. With regard to the areas under the curve (AUC) and Youden indices, they constituted 0.922 and 0.697 for neutrophil count and 0.926 and 0.716 for NLR, respectively. The comparative ROC z-statistic value was 2.222 and a p = 0.026. The multiple linear regression analysis revealed no significant influence for hormonal and metabolic independent variables on the neutrophil count in PCOS cases, but, as can be expected, revealed a significant negative relationship with the other components of WBCs. Conclusion: In conclusion, relative neutrophilia and elevated NLR are potential cost-effective, sensitive, and specific predictors of PCOS that may also shed light on the mechanism of chronic low-grade inflammation that is characteristic of the disease.

Indexed as

Polycystic Ovary SyndromeCase-Control StudiesFemaleHumansInflammationLeukocyte CountLymphocytesNeutrophilshormonal profilelow-grade inflammationmetabolic profilemetabolic syndromeneutrophil countneutrophil–lymphocyte ratiopolycystic ovary syndromereproductive age women

Identifiers

PMID35454373
PMCPMC9031855
OpenAlexW4223652067

What Socratic 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 Socratic graph.