Evidence map›Paper›PMID 38933244›Full record

ArticleActa endocrinologica (Bucharest, Romania : 2005)

THE CLINICAL SIGNIFICANCE OF COMPLETE BLOOD COUNT, NEUTROPHIL-TO-LYMPHOCYTE RATIO, AND MONOCYTE-TO-LYMPHOCYTE RATIO IN GESTATIONAL DIABETES MELLITUS.

G Liu, J Geng, R Jin, N Zhang, L Mei

Abstract read
In one paragraph

Article in Acta endocrinologica (Bucharest, Romania : 2005). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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. Article
  2. 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

5 authors.

G LiuObstetrical Department, Fu Yang People's Hospital Affiliated to Anhui Medical University, Anhui FuYang, China.
J GengObstetrical Department, Fu Yang People's Hospital Affiliated to Anhui Medical University, Anhui FuYang, China.
R JinObstetrical Department, Fu Yang People's Hospital Affiliated to Anhui Medical University, Anhui FuYang, China.
N ZhangObstetrical Department, Fu Yang People's Hospital Affiliated to Anhui Medical University, Anhui FuYang, China.
L MeiObstetrical Department, Fu Yang People's Hospital Affiliated to Anhui Medical University, Anhui FuYang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To investigate the association between inflammatory factors, such as complete blood count (CBC) components, neutrophil/lymphocyte ratio (NLR), monocyte/lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), and gestational diabetes mellitus (GDM). Methods: A total of 635 pregnant women with GDM and 296 with normal pregnancies at 7-13 weeks of gestation who underwent prenatal examinations in the obstetrics department were enrolled (June 2020-December 2020). CBC parameters, including WBC, neutrophil, lymphocyte (LYM), monocyte (MON), red blood cell (RBC), hemoglobin (HGB), mean corpuscular volume (MCV), platelet (PLT), platelet accumulation (PCT), mean platelet volume (MPV), NLR, MLR, PLR, alanine transaminase (ALT), aspartate transaminase (AST), gamma-glutamyl transferase (GGT), and other parameters were assessed. The receiver operating characteristic (ROC) curve was used to analyze the screening effects of the variables on the development of GDM. Results: There were significant differences in the blood levels of WBC, NEU, LYM, MON, RBC, HGB, PCT, ALT, AST, GGT, NLR, and MLR between the GDM and control groups (P<0.05). The diagnostic level of MON was the highest among all factors. Conclusion: Inflammatory factors (WBC, NEU, LYM, MON, NLR, and MLR counts) were correlated with GDM.

Indexed as

Gestational diabetes mellitusLeukocyteMonocyte/lymphocyte ratioNeutrophil/lymphocyte ratioPregnancy

Identifiers

PMID38933244
PMCPMC11197831

What OpenQuestion holds

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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.