Evidence map›Paper›PMID 42682719›Full record

ReviewFrontiers in pharmacology2026

From toxicity to signal: positioning symptom clusters as pharmacodynamic indicators in ICI therapy.

Yufang Ding, ChunWang Hua, Miao Rao, Cailin Ma, Qiuxia Zhong, Ping Gan, Guihua Hang

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 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

7 authors.

Yufang Ding *Department of Pharmacy, Taizhou Second People's Hospital, The Affiliated Taizhou Second People's Hospital of Yangzhou University, Taizhou, Jiangsu, China.
ChunWang Hua *Department of Pharmacy, Taizhou Second People's Hospital, The Affiliated Taizhou Second People's Hospital of Yangzhou University, Taizhou, Jiangsu, China.
Miao Rao *Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Cailin MaIntensive Care Unit, Taizhou Second People's Hospital, The Affiliated Taizhou Second People's Hospital of Yangzhou University, Taizhou, Jiangsu, China.
Qiuxia ZhongDepartment of Pharmacy, Taizhou Second People's Hospital, The Affiliated Taizhou Second People's Hospital of Yangzhou University, Taizhou, Jiangsu, China.
Ping GanDepartment of Pharmacy, Taizhou Second People's Hospital, The Affiliated Taizhou Second People's Hospital of Yangzhou University, Taizhou, Jiangsu, China.
Guihua HangDepartment of Pharmacy, Taizhou Second People's Hospital, The Affiliated Taizhou Second People's Hospital of Yangzhou University, Taizhou, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitors (ICIs) have enhanced the treatment of cancer, but their clinical effect is usually limited by immune-related adverse events (irAEs). Currently, it is recognized that these toxicities are not merely common side effects. Rather, they are a set of complicated symptoms caused by different cytokine networks with different occurrences, progress and affected organ systems. Therefore, We propose that symptom assessment should not be limited to safety monitoring. Symptom complexes should be regarded as dynamic and easily accessible pharmacodynamic indicators of ICI effects. By analyzing certain symptom arrangements (such as IL-6 induced colitis), doctors can determine the main immune pathways affected. This change in view converts the management of irAE from an empirical and broad-spectrum immunosuppression to a strategy based on mechanism, thus achieving the separation of toxicity control from antitumor efficacy.

Indexed as

immune checkpoint inhibitorspatient-reported outcomespharmacodynamicsprecision immunotherapysymptom clusters

Identifiers

PMID42682719
PMCPMC13530428

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.