Evidence map›Paper›PMID 32313191›Full record

ArticleScientific reports2020

Evaluation of a five-year predicted survival model for cystic fibrosis in later time periods.

Theodore G Liou, Christiana Kartsonaki, Ruth H Keogh, Frederick R Adler

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 16% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

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  5. Observational
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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

4 authors at 3 institutions in 2 countries.

Theodore G LiouCenter for Quantitative Biology, University of Utah, Salt Lake City, Utah, USA. ted.liou@utah.edu.
Christiana KartsonakiClinical Trial Service Unit & Epidemiological Studies Unit and Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Ruth H KeoghDepartment of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Frederick R AdlerCenter for Quantitative Biology, University of Utah, Salt Lake City, Utah, USA.
University of Utah · USLondon School of Hygiene & Tropical Medicine · GBMedical Research Council · GB

Funding

Explanatory models of CF Survival, Infection and Intermediate Clinical OutcomesR01HL125520 · NHLBI · UNIVERSITY OF UTAH · PI LIOU, THEODORE GEH-LU · 2015 to 2018
$1.4M
Medical Research Council MR/M014827/1Medical Research Council MR/S017968/1NHLBI NIH HHS R01 HL125520
6 · The paper itself

Abstract

We evaluated a multivariable logistic regression model predicting 5-year survival derived from a 1993-1997 cohort from the United States Cystic Fibrosis (CF) Foundation Patient Registry to assess whether therapies introduced since 1993 have altered applicability in cohorts, non-overlapping in time, from 1993-1998, 1999-2004, 2005-2010 and 2011-2016. We applied Kaplan-Meier statistics to assess unadjusted survival. We tested logistic regression model discrimination using the C-index and calibration using Hosmer-Lemeshow tests to examine original model performance and guide updating as needed. Kaplan-Meier age-adjusted 5-year probability of death in the CF population decreased substantially during 1993-2016. Patients in successive cohorts were generally healthier at entry, with higher average age, weight and lung function and fewer pulmonary exacerbations annually. CF-related diabetes prevalence, however, steadily increased. Newly derived multivariable logistic regression models for 5-year survival in new cohorts had similar estimated coefficients to the originals. The original model exhibited excellent calibration and discrimination when applied to later cohorts despite improved survival and remains useful for predicting 5-year survival. All models may be used to stratify patients for new studies, and the original coefficients may be useful as a baseline to search for additional but rare events that affect survival in CF.

Indexed as

Models, BiologicalCalibrationCohort StudiesCystic FibrosisHumansKaplan-Meier EstimateLogistic ModelsMultivariate AnalysisRegistriesSurvival AnalysisTime Factors

Identifiers

PMID32313191
PMCPMC7171119
OpenAlexW3016334093

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.