Evidence map›Paper›PMID 34288555›Full record

ArticleJournal of diabetes investigation2022

Association of leukocyte counts in the first trimester with glucose intolerance during pregnancy.

Leishen Wang, Weiqin Li, Shuang Zhang, Huikun Liu, Wei Li, Tongxin Hu, Junhong Leng

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes investigation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 2 institutions in 1 country.

Leishen WangTianjin Women and Children's Health Center, Tianjin, China.ORCID https://orcid.org/0000-0001-9365-1125
Weiqin LiTianjin Women and Children's Health Center, Tianjin, China.
Shuang ZhangTianjin Women and Children's Health Center, Tianjin, China.
Huikun LiuTianjin Women and Children's Health Center, Tianjin, China.
Wei LiTianjin Women and Children's Health Center, Tianjin, China.
Tongxin HuTianjin Medical University, Tianjin, China.
Junhong LengTianjin Women and Children's Health Center, Tianjin, China.
Tianjin Children's Hospital · CNTianjin Medical University · CN

Funding

National Key Research and Development Program of China 2018YFC1313900National Key Research and Development Program of China 2018YFC1313903
6 · The paper itself

Abstract

AIMS/

introductionWe investigated the association between leukocyte counts and glucose challenge test (GCT) level during pregnancy. MATERIALS AND

methodsWe collected prenatal information of women who had their first clinic visit in early pregnancy. Women underwent GCT at 24-28 gestational weeks, and a result of ≥7.8 mmol/L was considered positive. Participants were divided into quartiles of leukocyte counts, and association with GCT results and positive rate were analyzed by logistic regression.

resultsAmong 20,707 pregnant women, the median of leukocyte counts was higher in the positive group than the normal group (8.5 × 10

conclusionsElevated leukocyte counts in early pregnancy were independently and linearly associated with the risk of positive GCT levels, indicating that inflammation might play an important role in the development of gestational diabetes mellitus.

Indexed as

AdultBlood GlucoseDiabetes, GestationalFemaleGestational AgeGlucose IntoleranceGlucose Tolerance TestHumansLeukocyte CountLogistic ModelsOdds RatioPregnancyPregnancy Trimester, FirstRisk FactorsBlood Glucose50-Gram glucose challenge testLeukocyte countsPregnancy

Identifiers

PMID34288555
PMCPMC8756326
OpenAlexW3186744167

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.