Evidence map›Paper›PMID 33251586›Full record

ArticleDevelopmental medicine and child neurology2021

Predictive validity of the Hand Assessment for Infants in infants at risk of unilateral cerebral palsy.

Ulrike C Ryll, Lena Krumlinde-Sundholm, Cornelia H Verhage, Elisa Sicola, Giuseppina Sgandurra, Caroline Hg Bastiaenen, Ann-Christin Eliasson

Abstract read
In one paragraph

Article in Developmental medicine and child neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–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

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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.

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Ulrike C RyllDepartment of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-5050-0423
Lena Krumlinde-SundholmDepartment of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-1758-0190
Cornelia H VerhageChild Development and Exercise Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.ORCID 0000-0002-6266-5724
Elisa SicolaDepartment of Developmental Neuroscience, IRCCS Fondazione Stella Maris, Pisa, Italy.
Giuseppina SgandurraDepartment of Developmental Neuroscience, IRCCS Fondazione Stella Maris, Pisa, Italy.ORCID 0000-0003-1081-1766
Caroline Hg BastiaenenCaphri Research Institute, Program Functioning and Rehabilitation, Department of Epidemiology, Maastricht University, Maastricht, the Netherlands.
Ann-Christin EliassonDepartment of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-7527-3810

Funding

Norrbacka-EugeniastiftelsenSällskapet BarnavårdStiftelsen Frimurare Barnhuset i StockholmStockholm City Council 1411-1372Stockholm City Council 20150153Swedish Research Council 2016-01009Swedish Research Council 521-2013-3096
6 · The paper itself

Abstract

aimTo evaluate the sensitivity, specificity, and predictive value of the Hand Assessment for Infants (HAI) in identifying infants at risk of being diagnosed with unilateral cerebral palsy (CP), and to determine cut-off values for this purpose.

methodA convenience sample of 203 infants (106 females, 97 males) was assessed by the HAI at 3, 6, 9, and 12 months. Sensitivity, specificity, predictive values, and likelihood ratios were calculated using receiver operating characteristic curve analysis. Cut-off values were derived for different ages. The clinical outcome (unilateral CP yes/no) at 24 months or more served as an external criterion to investigate the predictive validity of HAI.

resultsHalf of the infants developed unilateral CP. The area under the curve ranged from 0.77 (95% CI [confidence interval] 0.63-0.91) to 0.95 (95% CI 0.90-1.00) across HAI scales and age intervals. Likewise, sensitivity ranged from 63% to 93%, specificity from 62% to 91%, and accuracy from 73% to 94%.

interpretationHAI scores demonstrated overall accuracy that ranged from very good to excellent in predicting unilateral CP in infants at risk aged between 3.5 and 12 months. This accuracy increased with age at assessment and the earliest possible prediction was at 3.5 months of age, when appropriate HAI cut-off values for different ages were applied. What this paper adds The Hand Assessment for Infants (HAI) predicts unilateral cerebral palsy (CP) with high accuracy. HAI cut-off values can guide clinical practice for early identification and diagnosis of unilateral CP.

Indexed as

Disability EvaluationCerebral PalsyFemaleHandHumansInfantMaleMass ScreeningSensitivity and Specificity

Identifiers

PMID33251586
PMCPMC7984072

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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.