Evidence map›Paper›PMID 36285250›Full record

ArticleNeuropsychiatric disease and treatment2022

How Accurately Does the Information on Motor Development Collected During Health Checkups for Infants Predict the Diagnosis of Neurodevelopmental Disorders? - A Bayesian Network Model-Based Study.

Yuhei Hatakenaka, Koutaro Hachiya, Shino Ikezoe, Jakob Åsberg Johnels, Christopher Gillberg

Open access · goldAbstract read
In one paragraph

Article in Neuropsychiatric disease and treatment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 40% 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 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

5 authors at 4 institutions in 2 countries.

Yuhei HatakenakaFacuty of Humanities and Social Sciences, University of the Ryukyus, Nishihara, Okinawa, Japan.ORCID 0000-0003-4100-5548
Koutaro HachiyaGraduate School of Environmental Informatics, Teikyo Heisei University, Tokyo, Japan.ORCID 0000-0002-2736-4002
Shino IkezoeFaculity of Nursing, University of Kochi, Kochi, Japan.
Jakob Åsberg JohnelsGillberg Neuropsychiatry Centre, Sahlgrenska Academy, Gothenburg, Sweden.
Christopher GillbergGillberg Neuropsychiatry Centre, Sahlgrenska Academy, Gothenburg, Sweden.ORCID 0000-0001-8848-1934
University of Gothenburg · SETeikyo Heisei University · JPUniversity of Kochi · JPUniversity of the Ryukyus · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: We investigated to what extent early motor development problems predict a future diagnosis of neurodevelopmental disorders (NDDs)/Early Symptomatic Syndromes Eliciting Neurodevelopmental Examinations (ESSENCE) by using a Bayesian network model (BN). Subjects and methods: Subjects were the children who had participated in the 18- and 36-month checkups in two cities in Japan between April 2014 and March 2015. Their motor development data at the 4-, 10- and 18-month-checkups were collected with ethical consideration. The diagnosis was confirmed at the age of six, after regular assessment in all developmental areas at a neurodevelopmental clinic. The accuracy of prediction of NDD based on posterior probabilities determined using the BN was evaluated using the area under the receiver operating characteristic (ROC) curve (AUC). The posterior probability (the optimal cut-off value) yielding the maximum Youden Index (sensitivity + specificity - 1) is determined with the ROC curve, and the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and utility index (UI) were computed. Results: BN models showed associations between early motor items and developmental coordination disorders, borderline intelligence/intellectual disability, and speech and language disorder. The ROC curve for any NDD had an AUC of 0.735. The posterior probability with the maximal Youden Index was 0.138; at the optimal cut-off value, the sensitivity, specificity, PPV, NPV, UI+, and UI- were 0.619, 0.761, 0.250, 0.940, 0.155 and 0.715, respectively. Conclusion: We utilized a novel approach in detailing the associations between certain early motor problems and specific NDDs. We showed that the presence of motor development problems early in development increases the probability of a future diagnosis of any NDD. Still, the sensitivity of early motor development problems as a screening tool was not high enough to be the sole instrument for detecting NDDs. The need for a broad, holistic ESSENCE perspective when looking at the course of motor development problems was stressed.

Indexed as

area under the curvechild health checkupsearly screeningearly symptomatic syndromes eliciting neurodevelopmental clinical examinationsposterior probabilityreceiver operating characteristic

Identifiers

PMID36285250
PMCPMC9588295
OpenAlexW4306850501

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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.