Evidence map›Paper›PMID 40928377›Full record

ArticleInternational journal of surgery (London, England)2026

Causes of death after surgery among cancer patients: a population-based cohort study.

Yutai Hao, Chengcai Liang, Yifan Zhang, Xin Huang, Zhoukai Zhao, Feiyang Zhang, Shenghang Ruan, Run-Cong Nie, Yuanfang Li, Yongqiang Zheng and 1 more

Abstract read
In one paragraph

Article in International journal of surgery (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Yutai HaoState Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Chengcai LiangState Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yifan ZhangState Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Xin HuangState Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Zhoukai ZhaoState Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Feiyang ZhangState Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Shenghang RuanState Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Run-Cong NieState Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.ORCID 0000-0003-3595-6304
Yuanfang LiState Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yongqiang ZhengState Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.ORCID 0000-0003-3246-2800
Baiwei ZhaoState Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRecent advancements in surgical techniques and perioperative care have improved cancer survival rates, yet post-operative comorbidity and mortality remain a critical concern. Despite progress in cancer control, systematic analyses of long-term mortality trends and competing risks in surgery-intervened cancer populations are lacking. This study aimed to quantify temporal patterns of post-operative mortality causes across 21 solid cancers and identify dominant non-cancer risk factors to inform survivorship care strategies.

methodsThis retrospective, population-based cohort study analyzed data from 3 424 671 patients (including 2 371 058 surgical cases) diagnosed with 21 solid cancers between 1992 and 2021, sourced from the Surveillance, Epidemiology, and End Results database. Competing risk models were applied to assess cumulative mortality rates from index-cancer, non-index-cancer, and non-cancer causes, with stratification by cancer type. Surgical interventions were evaluated across short-term (30-day) and long-term follow-up periods, with primary outcomes focused on mortality attribution and secondary outcomes on temporal dominance shifts.

resultsIn this population-based retrospective cohort study of 3 424 671 patients with 21 solid cancers (1992-2021), non-cancer deaths surpassed index-cancer mortality in 14 malignancies (e.g., prostate, breast, colorectal), accounting for 48.7% of post-surgical deaths, with cardiovascular diseases and infections as primary contributors. By the 2020s, non-cancer causes emerged as the leading mortality driver in these cancers. However, index-cancer mortality remained predominant in pancreatic, ovarian, and brain tumors, highlighting the persistent therapeutic gaps. Surgical resection significantly altered mortality profiles for cancer population, with a 95.7% increase in non-cancer mortality for lung cancer and an 87.3% increase for pancreatic cancer ( P < 0.001), underscoring the critical need for enhanced post-operative comorbidity management. While 1-month post-surgical mortality improved over three decades for most solid cancers, disparities persisted in brain, biliary tract, and colorectal cancers. These findings advocate for multidisciplinary strategies prioritizing non-cancer comorbidities, particularly cardiovascular and infectious risks, to optimize long-term survival in cancer survivors.

conclusionThis study highlights a paradigm shift in post-operative mortality, with no-cancer cause of deaths now surpassing cancer-related deaths in most solid tumors. These findings underscore the urgency of integrating multidisciplinary care targeting cardiovascular health and infection prevention into survivorship programs.

Indexed as

NeoplasmsPostoperative ComplicationsAdultAgedAged, 80 and overCause of DeathFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsSEER ProgramUnited Statescancer patientscause of deathno-cancer deathspost-operative managementpost-surgery mortality

Identifiers

PMID40928377
PMCPMC12825837

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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.