Evidence map›Paper›PMID 35498400›Full record

ArticleFrontiers in endocrinology2022

Association Between Maternal Characteristics and the Risk of Isolated Maternal Hypothyroxinemia.

Yang Liu, Guohua Li, Nafei Guo, Xiaosong Liu, Shijia Huang, Qiaoling Du

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Development and Validation of Machine-Learning-Based Prediction Models for Thyroid Diseases During Pregnancy.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Article
  4. Observational
  5. Article
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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

6 authors.

Yang LiuDepartment of Obstetrics, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.
Guohua LiDepartment of Reproductive Immunology, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.
Nafei GuoDepartment of Nursing, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.
Xiaosong LiuDepartment of Obstetrics, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.
Shijia HuangDepartment of Obstetrics, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.
Qiaoling DuDepartment of Obstetrics, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: We aimed to determine the association between maternal characteristics and isolated maternal hypothyroxinemia (IMH). Methods: Pregnancies registered at Shanghai First Maternity and Infant Hospital between January 2014 and September 2020 were included in this cross-sectional study. IMH was defined as free thyroxine (FT4) levels below the 10th percentile with TSH within the normal reference range. Multivariate logistic regression models were used to identify potential risk factors for IMH, including demographic information, anthropometric measurements and nutritional status. Results: A total of 54586 singleton pregnancies were included, involving 6084 women with IMH and 48502 euthyroid women. Multivariate logistic regression analyses showed that the variables for women with ages ≥35 (adjusted OR = 1.30, 95% CI:1.20-1.40), non-local residence (adjusted OR = 1.16, 95% CI:1.09-1.23), multiparas (adjusted OR = 1.11, 95% CI:1.03-1.21), pre-pregnancy overweight (adjusted OR = 1.37, 95% CI:1.27-1.49) or obesity (adjusted OR = 1.35, 95% CI:1.18-1.54), and iron deficiency (adjusted OR = 1.27, 95% CI:1.20-1.35) were independent risk factors for IMH in the overall study population, which were identical to those in the first trimester subgroup. Conclusions: Maternal characteristics were associated with the onset of IMH. Maternal age, residence of origin, parity, pre-pregnancy body mass index (BMI) and iron status should be comprehensively considered to evaluate the risk of IMH, according to which obstetricians could determine an optimal assessment time for thyroid function.

Indexed as

Thyroid Function TestsBody Mass IndexChinaCross-Sectional StudiesFemaleHumansMalePregnancyProspective Studiesfetal neurodevelopmentiron deficiencyisolated maternal hypothyroxinemiamaternal characteristicsrisk factor

Identifiers

PMID35498400
PMCPMC9039333

What OpenQuestion holds

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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.