Evidence map›Paper›PMID 42854069›Full record

ArticleMedicine2026

National trends in infection-related mortality among US cancer decedents in the immunotherapy era (1999-2023).

Lu Jiang, Jundan Wang, Xuefei Yang, Ting Huang, Heran Zhou

Abstract read
In one paragraph

Article in Medicine, 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

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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

5 authors.

Lu JiangDepartment of Oncology, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Jundan Wang
Xuefei Yang
Ting Huang
Heran Zhou

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While immune checkpoint inhibitors (ICIs) have reshaped cancer care, population-level patterns of infection-related involvement at death among cancer decedents remain incompletely characterized. We analyzed >25 million US cancer deaths recorded in Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER; 1999-2023), excluding deaths with COVID-19 as the underlying cause. Infection-related involvement was defined using infection-related multiple-cause-of-death codes among decedents with cancer as the underlying cause. To approximate treatment context at the population level, malignancies were grouped by tumor-site-based likelihood of ICI exposure (a proxy rather than observed receipt), and temporal changes were evaluated using Joinpoint regression and interrupted time-series (ITS) models anchored to 2015, corresponding to the period of broad clinical adoption of ICIs. The proportion of cancer-underlying-cause deaths with infection-related multiple causes increased from 7.98% in 2009-2013 to 8.65% in 2017-2019 (+0.67 percentage points) in the prespecified period comparison. Joinpoint analysis identified a 2015 inflection, shifting from a pre-2015 decline to a sustained post-2015 increase (APC, +1.42% through 2023). Post-2015, cancers in the high-ICI-likelihood group (including melanoma, kidney, lung, and stomach cancers) showed a larger relative increase in infection-related multiple causes than low-ICI-likelihood cancers (+16.2% vs +6.7%), and ITS models supported a steeper post-2015 slope after accounting for the pandemic period. These findings indicate that infection-related conditions listed on death certificates among US cancer decedents have increased since 2015, with larger rises observed in tumor sites more likely to be treated with ICIs. Further work using patient-level treatment data is needed to determine whether these temporal patterns reflect immunotherapy exposure, shifts in case mix, or changes in certification and coding practices.

Indexed as

ImmunotherapyInfectionsNeoplasmsAgedCause of DeathFemaleHumansImmune Checkpoint InhibitorsMaleMiddle AgedUnited StatesImmune Checkpoint InhibitorscancerCDC WONDERimmune checkpoint inhibitorsimmunotherapyinfection-related mortalitytime trends

Identifiers

PMID42854069
PMCPMC13657599

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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.