Evidence mapPaperPMID 39630623Full record

ArticlePloS one2024

Association between cardiometabolic index and female infertility: A population-based study.

Lingxia Kong, Xian Ding, Qian Wang, Ruijie Xie, Fei Sun, Ningying Zhou, Chunting Li, Xiao Chen, Hong Qian

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

9 authors.

Lingxia KongWuxi School of Medicine, Jiangnan University, Wuxi, China.ORCID https://orcid.org/0009-0009-2806-7788
Xian DingDepartment of Anesthesiology, Affiliated Hospital of Jiangnan University, Wuxi, China.ORCID https://orcid.org/0000-0002-0534-4182
Qian WangWuxi School of Medicine, Jiangnan University, Wuxi, China.
Ruijie XieDepartment of Hand and Microsurgery, The Affiliated Nanhua Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Fei SunWuxi School of Medicine, Jiangnan University, Wuxi, China.
Ningying ZhouWuxi School of Medicine, Jiangnan University, Wuxi, China.
Chunting LiWuxi School of Medicine, Jiangnan University, Wuxi, China.
Xiao ChenDepartment of Anesthesiology, Affiliated Hospital of Jiangnan University, Wuxi, China.
Hong QianDepartment of Maternity Medicine, Affiliated Hospital of Jiangnan University, Wuxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne of the risk indicators of infertility is obesity. The cardiometabolic index (CMI) comprises obesity and blood lipids and is regarded as a novel indicator for evaluating obesity. Nevertheless, it is unclear whether it has any connection to infertility. This study set out to investigate the association between infertility and CMI.

methodsBased on cross-sectional data from the 2013-2018 National Health and Nutrition Examination Survey (NHANES), infertility and CMI statistics with complete information were selected. This study investigated the correlation between CMI and infertility using multivariate logistic regression analyses and subgroups. Use fitted smooth curves and threshold effect analysis to describe the nonlinear association between CMI and infertility.

results202 (13.31%) among the 1720 participants that got involved in the investigation were female infertile. Among the three models, the outcomes confirmed a positive correlation between CMI levels and the incidence of infertility (OR = 1.12, 95% CI: 1.01-1.24). Additionally, significant relationships were maintained in subgroup analysis (p > 0.05). Smooth curve fitting indicated a nonlinear positive connection between CMI and infertility, and an inflection point of 0.93 (log-likelihood ratio P < 0.05) was shown by threshold effect analysis.

conclusionOur findings suggest a significant relationship between CMI and infertility in American females. This helps identify high-risk groups for infertility, informing clinical practice and public health policy to improve metabolic and reproductive health.

Indexed as

Infertility, FemaleNutrition SurveysAdultCardiometabolic Risk FactorsCardiovascular DiseasesCross-Sectional StudiesFemaleHumansMiddle AgedObesityRisk Factors

Identifiers

PMID39630623
PMCPMC11616860

What Socratic holds

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LicenceCC BY
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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 Socratic graph.