Evidence map›Paper›PMID 40616753›Full record

ReviewFrontiers of medicine2025

Neurokinin-1 receptor antagonists in the current management of chemotherapy-induced nausea and vomiting.

Haohua Zhu, Song Huang, Xingsheng Hu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Frontiers of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

3 authors.

Haohua ZhuDepartment of Medical Oncology, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100021, China.
Song HuangValue & Implementation, Global Medical & Scientific Affairs, MSD China, Shanghai, 200233, China.
Xingsheng HuDepartment of Medical Oncology, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100021, China. huxingsheng66@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemotherapy-induced nausea and vomiting (CINV) is common in patients receiving moderately or highly emetogenic chemotherapy and is caused by the activation of peripheral and central nervous system pathways, with the neurokinin-1 receptor playing a central role in delayed CINV. Neurokinin-1 receptor antagonists (NK1RAs) in combination with other antiemetic agents are recommended in international and Chinese guidelines for the prevention of acute and delayed CINV. Therefore, a summary of current data for NK1RAs would be of great clinical utility. This article summarizes the available clinical and real-world data on the use of NK1RAs in CINV prophylaxis, with a focus on evidence from China, where three NK1RAs, aprepitant, fosaprepitant and netupitant, are currently approved. NK1RAs have demonstrated efficacy and favorable safety in the prevention of acute and delayed CINV. Further research is required to determine the optimal use of these drugs and to identify strategies for CINV management in specific patient populations.

Indexed as

AntiemeticsAntineoplastic AgentsNauseaNeurokinin-1 Receptor AntagonistsVomitingAprepitantHumansMorpholinesAntiemeticsAntineoplastic AgentsAprepitantfosaprepitantMorpholinesNeurokinin-1 Receptor AntagonistsantiemeticsChinaneurokinin-1 receptor antagonistsvomiting

Identifiers

What OpenQuestion holds

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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.