Evidence map›Paper›PMID 18366822›Full record

ArticlePsychological medicine2008

How should we construct psychiatric family history scores? A comparison of alternative approaches from the Dunedin Family Health History Study.

B J Milne, T E Moffitt, R Crump, R Poulton, M Rutter, M R Sears, A Taylor, A Caspi

Open access · greenAbstract read
In one paragraph

Article in Psychological medicine, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
9.8field-weighted citation impact, top 3% 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

48 citing papers in PubMed, 1 synthesis or guideline pooled it, 73 citations in OpenAlex.

  1. Pooled it
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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

8 authors at 4 institutions in 4 countries.

B J MilneSocial, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, London, UK. b.milne@iop.kcl.ac.uk
T E Moffitt
R Crump
R Poulton
M Rutter
M R Sears
A Taylor
A Caspi
King's College London · GBUniversity of Otago · NZDuke University · USSt. Joseph’s Healthcare Hamilton · CA

Funding

SELF-REPORT DELINQUENCY: A LONGITUDINAL STUDYR01MH045070 · NIMH · UNIVERSITY OF WISCONSIN MADISON · PI MOFFITT, TERRIE EDITH · 1989 to 2006
$2.5M
Personality and Health from Childhood to AdulthoodR01MH049414 · NIMH · UNIVERSITY OF WISCONSIN-MADISON · PI CASPI, AVSHALOM · 1997 to 2006
$1.8M
Uncovering and confirming gene-environment interactions in psychopathologyR01MH077874 · NIMH · DUKE UNIVERSITY · PI CASPI, AVSHALOM · 2007 to 2010
$1.6M
MENTAL HEALTH IN THE TRANSITION TO ADULTHOODR29MH049414 · NIMH · UNIVERSITY OF WISCONSIN MADISON · PI CASPI, AVSHALOM · 1992 to 1996
–
Medical Research Council G0100527Medical Research Council G0601483NIMH NIH HHS MH077874NIMH NIH HHS MH45070NIMH NIH HHS MH49414NIMH NIH HHS R01 MH045070NIMH NIH HHS R01 MH049414NIMH NIH HHS R01 MH077874
6 · The paper itself

Abstract

backgroundThere is increased interest in assessing the family history of psychiatric disorders for both genetic research and public health screening. It is unclear how best to combine family history reports into an overall score. We compare the predictive validity of different family history scores.

methodProbands from the Dunedin Study (n=981, 51% male) had their family history assessed for nine different conditions. We computed four family history scores for each disorder: (1) a simple dichotomous categorization of whether or not probands had any disordered first-degree relatives; (2) the observed number of disordered first-degree relatives; (3) the proportion of first-degree relatives who are disordered; and (4) Reed's score, which expressed the observed number of disordered first-degree relatives in terms of the number expected given the age and sex of each relative. We compared the strength of association between each family history score and probands' disorder outcome.

resultsEach score produced significant family history associations for all disorders. The scores that took account of the number of disordered relatives within families (i.e. the observed, proportion, and Reed's scores) produced significantly stronger associations than the dichotomous score for conduct disorder, alcohol dependence and smoking. Taking account of family size (i.e. using the proportion or Reed's score) produced stronger family history associations depending on the prevalence of the disorder among family members.

conclusionsDichotomous family history scores can be improved upon by considering the number of disordered relatives in a family and the population prevalence of the disorder.

Indexed as

FamilyAdolescentAdultAsthmaFemaleHumansMaleMedical History TakingMental DisordersModels, BiologicalSmoking

Identifiers

PMID18366822
PMCPMC3752774
OpenAlexW2064010969

What OpenQuestion holds

Textmetadata
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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.