Evidence map›Paper›PMID 42424078›Full record

ArticleJAMA network open2026

Sex Differences in Long-Term Overall and Cause-Specific Mortality in Patients With Cirrhosis.

Xiaonan Su, Lily Xia, Rui Huang, Xianhua Mao, Taotao Yan, Hong Fan, Ramsey Cheung, Mindie H Nguyen

Abstract read
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Xiaonan SuDivision of Gastroenterology and Hepatology, Stanford University Medical Center, Palo Alto, California.
Lily XiaDivision of Gastroenterology and Hepatology, Stanford University Medical Center, Palo Alto, California.
Rui HuangDivision of Gastroenterology and Hepatology, Stanford University Medical Center, Palo Alto, California.
Xianhua MaoDivision of Gastroenterology and Hepatology, Stanford University Medical Center, Palo Alto, California.
Taotao YanDivision of Gastroenterology and Hepatology, Stanford University Medical Center, Palo Alto, California.
Hong FanDivision of Gastroenterology and Hepatology, Stanford University Medical Center, Palo Alto, California.
Ramsey CheungDivision of Gastroenterology and Hepatology, Stanford University Medical Center, Palo Alto, California.
Mindie H NguyenDivision of Gastroenterology and Hepatology, Stanford University Medical Center, Palo Alto, California.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Evidence on sex differences in the natural history of cirrhosis and cause-specific mortality remains limited. Objective: To compare long-term all-cause and cause-specific mortality between male and female patients with cirrhosis. Design, Setting, and Participants: This population-based retrospective cohort study included hospitalized adults with cirrhosis identified from the California Department of Healthcare Access and Information database from January 2005 to December 2019. Propensity score matching (PSM) was used to balance baseline characteristics between male and female patients. Data were analyzed from August to December 2025. Exposure: Sex (females compared with males). Main Outcomes and Measures: Ten-year all-cause and cause-specific (liver-related [hepatocellular carcinoma (HCC) and non-HCC], non-liver-related [cardiovascular and other]) mortality were assessed. Hazard ratios (HRs) of all-cause death were estimated using Cox models, and subdistribution hazard ratios (sHRs) of cause-specific death and receipt of liver transplantation (LT) were estimated using Fine-Gray competing risk models, stratified by age, race, ethnicity, social deprivation level, cirrhosis cause, and cirrhosis severity. Results: Among 316 957 patients with cirrhosis (124 228 females [39.2%]; mean [SD] age, 61.4 [14.4] years; 192 729 males [60.8%]; mean [SD] age, 58.8 [13.1] years), PSM yielded 110 044 male-female pairs with balanced characteristics. Compared with males, females had lower estimated 10-year cumulative all-cause mortality (51 703 patients [58.2%] vs 53 310 patients [59.8%]), cardiovascular mortality (9215 patients [10.5%] vs 10 531 patients [11.9%]), and HCC-related mortality (3255 patients [3.6%] vs 4745 patients [5.4%]), but higher non-HCC liver-related mortality (18 572 patients [20.9%] vs 16 993 patients [19.0%]). In Cox models, females had a lower hazard of all-cause death (HR, 0.94; 95% CI, 0.93-0.96). In Fine-Gray models, females had lower hazards of cardiovascular-related (sHR, 0.86; 95% CI, 0.84-0.89) and HCC-related (sHR, 0.68; 95% CI, 0.65-0.71) death, but a higher hazard of non-HCC liver-related death (sHR, 1.09; 95% CI, 1.07-1.12). Stratified analyses suggested that females younger than 50 years (sHR, 1.06; 95% CI, 1.02-1.11) and those with alcohol-associated cirrhosis (sHR, 1.12; 95% CI, 1.08-1.17) had higher hazard of liver-related mortality, and females were less likely to undergo LT (sHR, 0.77; 95% CI, 0.66-0.89). Conclusions and Relevance: In this cohort study of patients with cirrhosis, males had slightly higher all-cause mortality largely due to higher cardiovascular and HCC-related mortality, while females had higher non-HCC liver-related mortality; females younger than 50 years and those with alcohol-associated cirrhosis had higher liver-related mortality but lower rates of LT. These sex disparities warrant specific consideration in future guidelines for disease monitoring and transplant allocation.

Indexed as

Liver CirrhosisAgedCaliforniaCarcinoma, HepatocellularCause of DeathFemaleHumansLiver NeoplasmsMaleMiddle AgedRetrospective StudiesSex Factors

Identifiers

PMID42424078
PMCPMC13352123

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.