Evidence map›Paper›PMID 36793518›Full record

ArticleJMA journal2023

Congenital Anomalies in Infants in Fukushima from 2011 to 2014: The Japan Environment and Children's Study.

Hidekazu Nishigori, Keiya Fujimori, Mitsuaki Hosoya, Toshie Nishigori, Tsuyoshi Murata, Hyo Kyozuka, Yuka Ogata, Akiko Sato, Kosei Shinoki, Seiji Yasumura and 2 more

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Article in JMA journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

12 authors.

Hidekazu NishigoriFukushima Regional Center for the Japan Environment and Children's Study, Fukushima, Japan.
Keiya FujimoriFukushima Regional Center for the Japan Environment and Children's Study, Fukushima, Japan.
Mitsuaki HosoyaFukushima Regional Center for the Japan Environment and Children's Study, Fukushima, Japan.
Toshie NishigoriFukushima Regional Center for the Japan Environment and Children's Study, Fukushima, Japan.
Tsuyoshi MurataFukushima Regional Center for the Japan Environment and Children's Study, Fukushima, Japan.
Hyo KyozukaFukushima Regional Center for the Japan Environment and Children's Study, Fukushima, Japan.
Yuka OgataFukushima Regional Center for the Japan Environment and Children's Study, Fukushima, Japan.
Akiko SatoFukushima Regional Center for the Japan Environment and Children's Study, Fukushima, Japan.
Kosei ShinokiFukushima Regional Center for the Japan Environment and Children's Study, Fukushima, Japan.
Seiji YasumuraFukushima Regional Center for the Japan Environment and Children's Study, Fukushima, Japan.
Koichi HashimotoFukushima Regional Center for the Japan Environment and Children's Study, Fukushima, Japan.
Japan Environment and Children’s Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study aimed to assess congenital anomalies among infants from 2011 to 2014 in Fukushima and compare the assessment with that from other geographical regions in Japan. Methods: We used the dataset of the Japan Environment and Children's Study (JECS), which is a nationwide prospective birth cohort study. For the JECS, participants were recruited through 15 regional centers (RC), including Fukushima. Pregnant women were recruited between January 2011 and March 2014. The Fukushima RC recruited all municipalities in the Fukushima Prefecture, from where we compared congenital anomalies in infants from the Fukushima RC to those in the infants from 14 other RCs. Crude and multivariate logistic regression analyses were also performed, with the multivariate logistic regression analysis being adjusted for maternal age, maternal body mass index (kg/m Results: In the Fukushima RC, 12,958 infants were analyzed, and 324 infants were diagnosed with major anomalies (2.50%). In the remaining 14 RCs, 88,771 infants were analyzed and 2,671 infants were diagnosed with major anomalies (3.01%). Crude logistic regression analysis demonstrated that the odds ratio for the Fukushima RC was 0.827 (95% confidence interval, 0.736-0.929) using the other 14 RCs as a reference. Multivariate logistic regression analysis also demonstrated that the adjusted odds ratio was 0.852 (95% confidence interval, 0.757-0.958). Conclusions: Fukushima Prefecture was found not to be an area at high risk for the occurrence of congenital anomalies in infants compared nationwide in Japan from 2011 to 2014.

Indexed as

congenital anomaliesFukushimainfantsThe Japan Environment and Children’s Study

Identifiers

PMID36793518
PMCPMC9908376

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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.