Evidence map›Paper›PMID 42751376›Full record

ReviewFrontiers in medicine2026

Toward nursing-integrated biomarker surveillance for immune-related adverse events during immune checkpoint inhibitor therapy.

Jiafeng Jin, Liwen Zheng, Yali Tian, Minjuan Chu, Beinuo Cao

Abstract readReview
In one paragraph

Review in Frontiers 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
–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

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.

Jiafeng Jin *Department of Nursing, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.
Liwen Zheng *Geriatric ICU, Jiangsu Province Hospital, Nanjing, China.
Yali TianGeriatric ICU, Jiangsu Province Hospital, Nanjing, China.
Minjuan ChuGeriatric ICU, Jiangsu Province Hospital, Nanjing, China.
Beinuo CaoDepartment of Nursing, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitors (ICIs) have transformed cancer care but can cause immune-related adverse events (irAEs) involving almost any organ system. Delayed recognition may permit reversible inflammation to progress to organ dysfunction, treatment interruption, prolonged immunosuppression, or death. Biomarker surveillance offers an objective complement to symptom assessment, yet no single marker is sufficiently accurate for universal prediction. This Mini Review examines the mechanistic basis and clinical evidence for nursing-led biomarker monitoring during ICI therapy. Targeted autoantibody, cytokine, or immune-cell assays may support selected clinical evaluations, whereas germline, T-cell receptor, and microbiome signatures remain investigational. Dynamic changes are generally more informative than isolated values, but interpretation is complicated by cancer burden, infection, concomitant treatment, and pre-existing disease. Nurses are positioned to connect serial laboratory trends with patient-reported symptoms, vital signs, treatment timing, and escalation pathways. Prospective studies are needed to validate multimarker panels and determine whether biomarker-informed nursing pathways reduce severe irAEs without unnecessary testing or interruption of effective immunotherapy.

Indexed as

biomarkersearly warningimmune checkpoint inhibitorsimmune-related adverse eventsmultidisciplinary careoncology nursingpatient-reported outcomessafety monitoring

Identifiers

PMID42751376
PMCPMC13579637

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.