Evidence map›Paper›PMID 23671380›Full record

ArticleTopics in spinal cord injury rehabilitation2013

Validity of computer adaptive tests of daily routines for youth with spinal cord injury.

Leah M Bent, M J Mulcahey, Erin H Kelly, Christina L Calhoun, Feng Tian, Pensheng Ni, Lawrence C Vogel, Stephen M Haley

Open access · bronzeAbstract read
In one paragraph

Article in Topics in spinal cord injury rehabilitation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 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

8 authors at 4 institutions in 1 country.

Leah M BentShriners Hospitals for Children-Chicago , Chicago, Illinois.
M J Mulcahey
Erin H Kelly
Christina L Calhoun
Feng Tian
Pensheng Ni
Lawrence C Vogel
Stephen M Haley
Boston University · USShriners Hospitals for Children - Philadelphia · USRush University Medical Center · USUniversity of Illinois Urbana-Champaign · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the accuracy of computer adaptive tests (CATs) of daily routines for child- and parent-reported outcomes following pediatric spinal cord injury (SCI) and to evaluate the validity of the scales.

methodsOne hundred ninety-six daily routine items were administered to 381 youths and 322 parents. Pearson correlations, intraclass correlation coefficients (ICC), and 95% confidence intervals (CI) were calculated to evaluate the accuracy of simulated 5-item, 10-item, and 15-item CATs against the full-item banks and to evaluate concurrent validity. Independent samples t tests and analysis of variance were used to evaluate the ability of the daily routine scales to discriminate between children with tetraplegia and paraplegia and among 5 motor groups.

resultsICC and 95% CI demonstrated that simulated 5-, 10-, and 15-item CATs accurately represented the full-item banks for both child- and parent-report scales. The daily routine scales demonstrated discriminative validity, except between 2 motor groups of children with paraplegia. Concurrent validity of the daily routine scales was demonstrated through significant relationships with the FIM scores.

conclusionChild- and parent-reported outcomes of daily routines can be obtained using CATs with the same relative precision of a full-item bank. Five-item, 10-item, and 15-item CATs have discriminative and concurrent validity.

Identifiers

PMID23671380
PMCPMC3641912
OpenAlexW2021343776

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.