Evidence map›Paper›PMID 33795485›Full record

ArticleJournal of nursing measurement2021

Predictive Ability of an Illness Severity Measure: Implications for Nursing Research.

Lisa C Lindley, Christine A Fortney, Melanie J Cozad

Abstract read
In one paragraph

Article in Journal of nursing measurement, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 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

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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

3 authors.

Lisa C LindleyUniversity of Tennessee, Knoxville, TN llindley@utk.edu.ORCID 0000-0003-2960-7896
Christine A FortneyThe Ohio State University, Columbus, OH.ORCID 0000-0003-0300-1968
Melanie J CozadUniversity of South Carolina, Columbia, SC.

Funding

The effectiveness of concurrent hospice care to improve pediatric and family outcomes at end of lifeR01NR017848 · NINR · UNIVERSITY OF TENNESSEE KNOXVILLE · PI Lisa C. Lindley · 2018 to 2026
$3.0M
NINR NIH HHS R01 NR017848
6 · The paper itself

Abstract

background and purposeIllness severity among children with life-limiting illnesses is measured with the pediatric complex chronic conditions (CCC) measure. Developed in 2000/2001, it was revised in 2014 to include infant-specific categories.

methodsDiscrimination, calibration, accuracy, and validation tests were used to examine the predictive performance of the measures.

resultsAmong the 10,175 infants in the analysis, both measures poorly discriminated-palliative care consultation (C-statistics 0.6396 vs. C-statistics 0.5905) and any inpatient procedure (C-statistics 0.6101 vs. C-statistics 0.5160). The Hosmer-Lemeshow goodness-of-fit tests revealed good calibration for both measures. The original measure was more accurate in predicting end-of-life outcomes-palliative care consultation (Brier Score 0.3892 vs. 0.7787) and any inpatient procedures (Brier Score 0.3115 vs. 0.4738).

conclusionsThe revised measure did not perform any better than the original in predicting end-of-life outcomes among infants.

Indexed as

Predictive Value of TestsSeverity of Illness IndexHumansLogistic ModelsNursing ResearchReproducibility of Resultscomplex chronic conditionsend-of-lifeillness severityinfantmeasurement testingpediatric

Identifiers

PMID33795485
PMCPMC8543733

What OpenQuestion holds

Textmetadata
LicenceTDM
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.