Evidence map›Paper›PMID 31204362›Full record

ArticleJournal of epidemiology2020

Factors Influencing the Proportion of Non-examinees in the Fukushima Health Management Survey for Childhood and Adolescent Thyroid Cancer: Results From the Baseline Survey.

Kunihiko Takahashi, Hideto Takahashi, Tomoki Nakaya, Seiji Yasumura, Tetsuya Ohira, Hitoshi Ohto, Akira Ohtsuru, Sanae Midorikawa, Shinichi Suzuki, Hiroki Shimura and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

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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

13 authors at 4 institutions in 1 country.

Kunihiko TakahashiDepartment of Biostatistics, Nagoya University Graduate School of Medicine.ORCID http://orcid.org/0000-0003-2387-7772
Hideto TakahashiNational Institute of Public Health.
Tomoki NakayaGraduate School of Environmental Studies, Tohoku University.ORCID http://orcid.org/0000-0002-3827-1012
Seiji YasumuraRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University.ORCID http://orcid.org/0000-0002-4715-2840
Tetsuya OhiraRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University.ORCID http://orcid.org/0000-0003-4532-7165
Hitoshi OhtoRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University.
Akira OhtsuruRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University.
Sanae MidorikawaRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University.
Shinichi SuzukiRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University.
Hiroki ShimuraRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University.
Shunichi YamashitaFukushima Medical University.
Koichi TanigawaRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University.
Kenji KamiyaRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University.
Fukushima Medical University · JPHiroshima University · JPNagoya University · JPTohoku University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAfter the Fukushima Daiichi Nuclear Power Plant accident, a preliminary ultrasound-based screening for thyroid cancer was conducted to establish a baseline for subsequent evaluations. In this survey, we assessed the relationship between the proportion of non-examinees and characteristics of the target populations.

methodsAfter summarizing a regional difference of non-examinees among the population of 359,200 (primary evaluation) and 2,246 (confirmatory testing) individuals who were living in Fukushima Prefecture on March 11, 2011, we estimated odds ratios (ORs) for each characteristic, including age, sex, area of residence, and moving after the accident, based on the proportion of non-examinees for the primary examination and the confirmatory testing, using a multivariate logistic regression model.

resultsThe dataset included 64,117 non-examinees (primary evaluation) and 194 (confirmatory testing). The logistic regression result indicated that girls were not likely to be non-examinees compared to boys, with adjusted OR of 0.80 (95% confidence interval [CI], 0.78-0.81) for the primary evaluation. Odds were lowest for children 6-10 years old (OR 0.26; 95% CI, 0.25-0.27), and higher for those 11-15 years old (OR 1.28; 95% CI, 1.25-1.32) and over 16 years old (OR 5.30; 95% CI, 5.16-5.43) when compared to children 0-5 years old. Individuals residing in the western part of the prefecture showed higher ORs. There was a higher proportion of non-examinees among those who moved after the accident compared to those who did not in the primary evaluation (OR 1.72; 95% CI, 1.64-1.79).

conclusionsIn addition to demographic characteristics, a change of residence could be a potential factor that influenced the proportion of non-examinees. Our results will help proper interpretation of reports and prospective management of the survey.

Indexed as

Fukushima Nuclear AccidentChildChild, PreschoolFemaleHealth SurveysHumansInfantInfant, NewbornJapanMaleMass ScreeningProspective StudiesThyroid NeoplasmsUltrasonographyFukushima Health Management Surveylogistic regressionnon-examineesparticipation ratethyroid cancer screening

Identifiers

PMID31204362
PMCPMC7280055
OpenAlexW2951590435

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.