e-ISSN: Pending
Negative / Null Result ReportOpen accessMedicine· cited by 45

A risk calculator to predict adult attention-deficit/hyperactivity disorder: generation and external validation in three birth cohorts and one clinical sample

Arthur Caye; Jessica Agnew‐Blais; Louise Arseneault; Helen Gonçalves; Christian Kieling; K. Langley; Ana Maria B. Menezes; Terrie E. Moffitt · 2019 · Epidemiology and Psychiatric Sciences

WASTE classifies this as Negative / Null Result Report · AI classification, approximate

The study found no significant effect — useful as a negative control or null benchmark for your own design.

Abstract

AIM: Few personalised medicine investigations have been conducted for mental health. We aimed to generate and validate a risk tool that predicts adult attention-deficit/hyperactivity disorder (ADHD). METHODS: Using logistic regression models, we generated a risk tool in a representative population cohort (ALSPAC - UK, 5113 participants, followed from birth to age 17) using childhood clinical and sociodemographic data with internal validation. Predictors included sex, socioeconomic status, single-parent family, ADHD symptoms, comorbid disruptive disorders, childhood maltreatment, ADHD symptoms,

Abstract by Arthur Caye; Jessica Agnew‐Blais; Louise Arseneault; Helen Gonçalves; Christian Kieling; K. Langley; Ana Maria B. Menezes; Terrie E. Moffitt, Epidemiology and Psychiatric Sciences (2019) — licensed CC BY 4.0.

About to run something similar?

Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.

WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.

Metadata source: OpenAlex · DOI 10.1017/s2045796019000283