Evidence map›Paper›PMID 30381590›Full record

ArticleChinese medical journal2018

Association between Maternal Weight Indicators and Iron Deficiency Anemia during Pregnancy: A Cohort Study.

Jing Tan, Ya-Na Qi, Guo-Lin He, Hong-Mei Yang, Gui-Ting Zhang, Kang Zou, Wei Luo, Xin Sun, Xing-Hui Liu

Open access · goldAbstract read
In one paragraph

Article in Chinese medical journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
2.8field-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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Double Burden of Malnutrition Prevalence in Pregnant Women: Systematic Review and Meta-Analysis.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2026
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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 at 2 institutions in 1 country.

Jing TanChinese Evidence-Based Medicine Center and CREAT Group, West China Hospital, Sichuan University, Chengdu, Sichuan 610000, China.
Ya-Na QiChinese Evidence-Based Medicine Center and CREAT Group, West China Hospital, Sichuan University, Chengdu, Sichuan 610000, China.
Guo-Lin HeDepartment of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610000, China.
Hong-Mei YangDepartment of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610000, China.
Gui-Ting ZhangChinese Evidence-Based Medicine Center and CREAT Group, West China Hospital, Sichuan University, Chengdu, Sichuan 610000, China.
Kang ZouChinese Evidence-Based Medicine Center and CREAT Group, West China Hospital, Sichuan University, Chengdu, Sichuan 610000, China.
Wei LuoSchool of Information Engineering, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 610000, China.
Xin SunChinese Evidence-Based Medicine Center and CREAT Group, West China Hospital, Sichuan University, Chengdu, Sichuan 610000, China.
Xing-Hui LiuDepartment of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610000, China.
Sichuan University · CNChengdu University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe effect of maternal weights on the risk of iron deficiency anemia (IDA) during pregnancy remains unclear. The study aimed to investigate the association between maternal weight indicators and IDA during pregnancy.

methodsWe conducted a cohort study to examine the association between maternal weight indicators, including prepregnancy body mass index and the rate of gestational weight gain (GWG), and the risk of IDA among Chinese pregnant women. Data about new-onset IDA at different trimesters from a national cross-sectional survey were collected; information regarding baseline variables and rate of GWG from women participating in the survey were retrospectively collected. Tested IDA and reported IDA were documented. Multilevel logistic regression to examine the association between maternal weight indicators and the risk of IDA after adjusting for potential confounders was conducted.

resultsThis study enrolled 11,782 pregnant women from 24 hospitals from September 19, 2016, to November 20, 2016. Among those, 1515 (12.9%) IDA events were diagnosed through test (test IDA); 3915 (33.3%) were identified through test and patient reporting (composite IDA). After adjusting for confounders and cluster effect of hospitals, underweight pregnant women, compared with normal women, were associated with higher risk of test IDA (adjusted odds ratio [aOR]: 1.35, 95% confidence interval [CI]: 1.17-1.57 and composite IDA (aOR: 1.35, 95% CI: 1.21-1.51); on the contrary, overweight and obese women had lower risk of test IDA (aOR: 0.68, 95% CI: 0.54-0.86 overweight; aOR: 0.30, 95% CI: 0.13-0.69 obese) and composite IDA (aOR: 0.77, 95% CI: 0.67-0.90 overweight; aOR: 0.34, 95% CI: 0.21-0.55 obese). The higher rate of GWG was associated with higher risk of IDA (test aOR: 1.86 95% CI: 1.26-2.76; composite aOR: 1.54, 95% CI: 1.16-2.03).

conclusionsPregnant women who are underweight before pregnancy and who have faster GWG are more likely to develop IDA. Enforced weight control during pregnancy and use of iron supplements, particularly among underweight women, may be warranted.

Indexed as

AdultAnemia, Iron-DeficiencyBody Mass IndexCohort StudiesCross-Sectional StudiesFemaleGestational Weight GainHumansPregnancyRetrospective StudiesGestational Weight GainIron Deficiency AnemiaPrepregnancy Body Mass Index

Identifiers

PMID30381590
PMCPMC6213850
OpenAlexW2898528029

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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 OpenQuestion graph.