Evidence map›Paper›PMID 26351568›Full record

ArticleCanadian journal of kidney health and disease2015

Comorbidity burden at dialysis initiation and mortality: A cohort study.

Alwyn T Gomez, Bryce A Kiberd, J Patrick Royston, Talal Alfaadhel, Steven D Soroka, Brenda R Hemmelgarn, Karthik K Tennankore

Open access · goldAbstract read
In one paragraph

Article in Canadian journal of kidney health and disease, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 13% 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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.

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  11. Extreme Humid-Heat Exposure and Mortality Among Patients Receiving Dialysis.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2024
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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

7 authors at 4 institutions in 2 countries.

Alwyn T GomezFaculty of Medicine, Dalhousie University, Halifax, NS Canada.
Bryce A KiberdDepartment of Medicine (Division of Nephrology), Dalhousie University, Halifax, NS Canada ; Nova Scotia Health Authority, 5820 University Avenue, Halifax, NS Canada B3H 1V8.
J Patrick RoystonMRC Clinical Trials unit at UCL, London, UK.
Talal AlfaadhelDepartment of Medicine (Division of Nephrology), Dalhousie University, Halifax, NS Canada.
Steven D SorokaDepartment of Medicine (Division of Nephrology), Dalhousie University, Halifax, NS Canada ; Nova Scotia Health Authority, 5820 University Avenue, Halifax, NS Canada B3H 1V8.
Brenda R HemmelgarnDepartment of Medicine, University of Calgary, Calgary, AB Canada ; Department of Community Health Sciences, University of Calgary, Calgary, AB Canada.
Karthik K TennankoreDepartment of Medicine (Division of Nephrology), Dalhousie University, Halifax, NS Canada ; Nova Scotia Health Authority, 5820 University Avenue, Halifax, NS Canada B3H 1V8.
Nova Scotia Health Authority · CADalhousie University · CAUniversity College London · GBUniversity of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA high level of comorbidity at dialysis initiation is associated with an increased risk of death. However, contemporary assessments of the validity and prognostic value of comorbidity indices are lacking.

objectivesTo assess the validity of two comorbidity indices and to determine if a high degree of comorbidity is associated with mortality among dialysis patients.

designCohort study.

settingQEII Health Sciences Centre (Halifax, Nova Scotia, Canada). PATIENTS: Incident, chronic dialysis patients between 01 Jan 2006 and 01 Jul 2013. MEASUREMENTS: EXPOSURE: The Charlson Comorbidity Index (CCI) and End-Stage Renal Disease Comorbidity Index (ESRD-CI) were used to classify individual comorbid conditions into an overall score. Comorbidities were classified using patient charts and electronic records. OUTCOME: All-cause mortality. Confounders: Patient demographics, dialysis access, cause of ESRD and baseline laboratory data.

methodsRegression coefficients were estimated on the CCI and ESRD-CI. Discrimination for death was assessed using Harrell's c-index. Adjusted Cox proportional hazard models were used to calculate relative hazards and 95 % confidence intervals for each category of the CCI and ESRD-CI.

resultsThe cohort consisted of 771 ESRD patients from 01 Jan 2006 to 01 Jul 2013. Most were male (62 %) and Caucasian (91 %). The cohort had a high proportion of diabetes (48 %), history of previous myocardial infarction (31 %) and heart failure (22 %). Regression coefficients on the CCI and ESRD-CI were 0.55 and 0.52, respectively. The c-index, for the prediction of death, was 0.61 for the CCI and 0.63 for the ESRD-CI. ESRD-CI scores of 4, 5 and ≥6 were associated with a similar mortality risk (adjusted relative hazard of 1.95, 1.89 and 1.99, respectively). There was a small increased mortality risk for CCI scores of 4, 5 and ≥6 (adjusted relative hazard of 1.86, 2.38 and 2.71, respectively). LIMITATIONS: Classification of comorbidities for each patient was determined by clinical impression.

conclusionsThe CCI and ESRD-CI have a limited ability to discriminate mortality risk for incident dialysis patients. Acknowledging the frequency with which they are used, this study emphasizes the need to re-examine the usefulness of previously derived comorbidity indices in contemporary dialysis cohorts.

Identifiers

PMID26351568
PMCPMC4562341
OpenAlexW2145425823

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LicenceCC BY
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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.