Evidence map›Paper›PMID 32355802›Full record

ArticleAnnals of translational medicine2020

Low psoas muscle index associates with long-term mortality in cirrhosis: construction of a nomogram.

Lijun Hou, You Deng, Huanhuan Wu, Xin Xu, Lin Lin, Binxin Cui, Tianming Zhao, Xiaofei Fan, Lihong Mao, Junjie Hou and 3 more

Abstract read
In one paragraph

Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed, 1 synthesis or guideline 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

13 authors.

Lijun HouDepartment of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin 300052, China.
You DengDepartment of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin 300052, China.
Huanhuan WuDepartment of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China.
Xin XuDepartment of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin 300052, China.
Lin LinDepartment of Gastroenterology, Tianjin Medical University General Hospital Airport Hospital, Tianjin 300308, China.
Binxin CuiDepartment of Gastroenterology, Tianjin Medical University General Hospital Airport Hospital, Tianjin 300308, China.
Tianming ZhaoDepartment of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin 300052, China.
Xiaofei FanDepartment of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin 300052, China.
Lihong MaoDepartment of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin 300052, China.
Junjie HouDepartment of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin 300052, China.
Haoran SunDepartment of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China.
Bangmao WangDepartment of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin 300052, China.
Chao SunDepartment of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin 300052, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo develop a nomogram incorporating indicator of muscle waste to prognosticate long-term mortality in liver cirrhosis (LC), and identify the prognostic impact of psoas muscle index (PMI).

methodsA total of 251 LC patients who underwent computed tomography were included in this study. Multiple Cox regression was performed, and sex-specific nomogram models incorporating PMI were developed. The utility of the proposed models were evaluated by Harrell's concordance index (C-index), calibration curve and decision curve analysis. X-tile was used to determine optimal cutpoint for stratifying subjects with distinct outcomes. Subgroup analysis was implemented in terms of age and MELD score. The correlation between PMI and gait speed was also evaluated.

resultsOn multiple analysis, independent predictors for 3-year all-cause mortality were age, BMI, PMI and MELD for males, and age, PMI and MELD for females. Both nomogram models gave rise to moderately strong discrimination, with a C-index of 0.792 (95% CI: 0.723-0.861) in males and 0.715 (95% CI: 0.637-0.793) in females, respectively. The calibration curve implied predicted survival corresponding optimally with the actual outcomes. The proposed models were feasible in clinical settings based on decision curve analysis. On subgroup analysis, PMI might confer valid predictive value on LC patients with MELD <15. Moreover, a definitely positive correlation between PMI and gait speed was revealed.

conclusionsOur proposed nomogram embedding PMI rendered an individualized predictive tool for long-term mortality in LC. The diminishing value of PMI is likely indicative of muscle dysfunction.

Indexed as

gait speedliver cirrhosisNomogrampsoas muscle indexsarcopenia

Identifiers

PMID32355802
PMCPMC7186727

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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.