Evidence map›Paper›PMID 29369419›Full record

ArticleJournal of clinical laboratory analysis2018

The association between serum testosterone and mortality among elderly men on hemodialysis.

Hung-Chieh Wu, Lin-Chien Lee, Wei-Jie Wang

Abstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 3 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

7 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

3 authors.

Hung-Chieh WuDivision of Nephrology, Department of Internal Medicine, Ministry of Health and Welfare, Taoyuan General hospital, Taoyuan, Taiwan.ORCID http://orcid.org/0000-0001-8694-0287
Lin-Chien LeeDepartment of Physical Medicine and Rehabilitation, Cheng Hsin General hospital, Taipei, Taiwan.
Wei-Jie WangDivision of Nephrology, Department of Internal Medicine, Ministry of Health and Welfare, Taoyuan General hospital, Taoyuan, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study examines the associations between total testosterone levels and dialysis mortality.

methodsElderly men who initiate hemodialysis in Taoyuan General Hospital from January 2012 to June 2017 were enrolled. We reviewed clinical characteristics and biochemical data from start of dialysis and followed over a 5-year period after dialysis. Body composition parameters were assessed 3-6 months after dialysis. Skeletal muscle mass index (SMMI) was defined by skeletal muscle mass divided by squared height. We defined those with lowest tertile of testosterone values as low testosterone group. Adjusted hazard ratios (aHRs) and 95% confidence interval (95% CI) for mortality and cumulative survival curves were evaluated by Cox hazards model and Kaplan-Meier method. The discriminative power of SMMI and testosterone levels was calculated according to the area under the curve and the receiver operating characteristic curve (AUROC).

resultsFrom a total of 137 elderly hemodialysis patients, the range of lowest, middle, and highest tertile of testosterone values was <6.25 nmol/L, 6.25-10.5 nmol/L, and >10.5 nmol/L. After multivariate adjustment other than SMMI, total testosterone levels at baseline were a significant predictor for mortality aHR(95% CI): 0.79 (0.70-0.91). The unadjusted and adjusted c-statistics of SMMI vs testosterone values to predict overall were 770 (0.688-0.852) vs 0.779 (0.691-0.866) and 855 (0.812-0.886) vs 0.812 (0.744-0.856) (Ps < .05), whereas the capacity of c-statistics was similar (χ

conclusionsTotal testosterone value was a predictor for mortality. It was noninferior to SMMI in predicting dialysis mortality.

Indexed as

Kidney DiseasesAgedCohort StudiesHumansMaleRenal DialysisSurvival AnalysisTestosteroneTestosteronebody compositiondialysislow muscle massmortalitytestosterone

Identifiers

PMID29369419
PMCPMC6817078

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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.