Evidence map›Paper›PMID 39958929›Full record

ArticleOncology letters2025

Predictive factors of chemotherapy‑induced nausea and vomiting in elderly patients with gynecological cancer undergoing paclitaxel and carboplatin therapy: A retrospective study.

Fei Yao, Lijuan He, Xingyu Sun

Abstract read
In one paragraph

Article in Oncology letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. 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

3 authors.

Fei YaoDepartment of Gynecology, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan 646000, P.R. China.
Lijuan HeDepartment of Health Management Center, The Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan 646000, P.R. China.
Xingyu SunDepartment of Gynecology, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan 646000, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemotherapy-induced nausea and vomiting (CINV) is a common and distressing adverse effect in elderly patients with gynecological cancer undergoing paclitaxel and carboplatin therapy. The present study aimed to identify predictors of CINV in this population. A retrospective analysis was conducted of 209 elderly patients with gynecological cancer treated with paclitaxel and carboplatin chemotherapy at The Affiliated Hospital, Southwest Medical University (Luzhou, China) between May 2019 and July 2023. The Multinational Association of Supportive Care in Cancer Antiemesis Tool (MAT) was used to assess the presence, frequency, and severity of CINV. Patients were categorized into the CINV group (n=76) and non-CINV group (n=133) based on the MAT results. Age, hypertension, pre-chemotherapy sleep duration and pre-chemotherapy anxiety level were identified as significant predictors of CINV in the univariate analysis. In the multivariate analysis, age, pre-chemotherapy sleep duration and pre-chemotherapy anxiety level remained significant predictors. In conclusion, age, pre-chemotherapy sleep duration and pre-chemotherapy anxiety level are significant predictors of CINV in elderly patients with gynecological cancer undergoing paclitaxel and carboplatin therapy. These findings could help in tailoring preventative strategies for CINV in this population.

Indexed as

anxietychemotherapy-induced nausea and vomitingelderlygynecological cancerpaclitaxel and carboplatinpredictorssleep duration

Identifiers

PMID39958929
PMCPMC11826289

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.