Evidence map›Paper›PMID 37596567›Full record

ArticleBMC public health2023

Spatial distribution of anti-mullerian hormone in females of childbearing age in China under the influence of geographical environmental factors.

Wenjie Yang, Miao Ge, Zhujuan Wang, Congxia Wang

Abstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

4 authors.

Wenjie YangSchool of Geographical Sciences and Tourism, Institute of Health Geography, Shaanxi Normal University, Xi'an, 710119, China.
Miao GeSchool of Geographical Sciences and Tourism, Institute of Health Geography, Shaanxi Normal University, Xi'an, 710119, China. 744570515@qq.com.
Zhujuan WangDepartment of Nephrology, Yulin No. 2 Hospital, Yulin, 719000, China.
Congxia WangSecond Affiliated Hospital, Xi'an Jiaotong University, Xi'an, 710119, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Anti-mullerian hormone (AMH) reference value is an important indicator of ovarian function. The main targets of this were to screen the geographical environmental factors that may influence the distribution of AMH reference values in Chinese females of childbearing age, and to further explore the geographical distribution differences of AMH reference values. We gathered the AMH data of 28,402 healthy Chinese females from 62 cities in China for this study in order to conduct a spearman regression analysis to determine the relationship between the AMH and 30 geography factors. The AMH reference value in different regions was forecasted by using a ridge regression model. The magnitude of influence from the geographical factor on different regions was analysed by geographically weighted regression. Ultimately, We were able to figure out the geographic distribution risk prediction of AMH reference values by utilizing the disjunctive Kriging method. The AMH reference value was significantly correlated with the 16 secondary indexes. The geographical distribution of AMH showed a trend of being higher in Qinghai-Tibet and Southern regions, and lower in the Northwest and Northern regions. This study lays the foundation for future investigations into the mechanism of different influencing factors on the reference value of AMH. It is suggested that such regional variations in AMH reference values be taken into account while diagnosing and treating individuals with reproductive medicine.

Indexed as

Anti-Mullerian HormoneChinaCitiesEast Asian PeopleFemaleHumansTibetAnti-Mullerian HormoneAnti-mullerian hormoneGeographical factorsReproductive HealthRidge regressionSpatial distribution

Identifiers

PMID37596567
PMCPMC10436535

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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.