Evidence map›Paper›PMID 40055437›Full record

ArticleScientific reports2025

Continuous nursing symptom management in cancer chemotherapy patients using deep learning.

Jie Zhang, Xiao-Nan Lv, Mei Wang, Jun Zhang, Feng Qi

Abstract readControlled Clinical Trial
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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

5 authors.

Jie ZhangDepartment of Nursing, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China.
Xiao-Nan LvDepartment of Nursing, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China.
Mei WangDepartment of Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin 2 Road, Shanghai, 200025, People's Republic of China. WM13601810867@163.com.
Jun ZhangDepartment of Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin 2 Road, Shanghai, 200025, People's Republic of China. junzhang10977@sjtu.edu.cn.
Feng QiDepartment of Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin 2 Road, Shanghai, 200025, People's Republic of China. qf12486@rjh.com.cn.

Funding

Natural Science Foundation of China 82202874Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine RJHK-2023-16
6 · The paper itself

Abstract

To assess the efficacy of a deep learning platform for managing symptoms in chemotherapy patients, aiming to enhance their quality of life. A non-randomized controlled trial was conducted from September 2022 to March 2024, involving 144 chemotherapy patients divided into intervention (n = 72) and control (n = 72) groups. The intervention group received the deep learning platform, whereas the control group received standard care. Anxiety, depression, and quality of life were evaluated using the SAS, SDS, and QOL scores at baseline and after 6 months. Initial non-significant differences in SAS, SDS, and QOL scores between groups were observed. After intervention, significant improvements were noted in the intervention group for SAS, SDS, and various QOL aspects (P < 0.05). The platform received a high satisfaction score of 4.93 ± 0.13. The deep learning platform significantly reduced anxiety and depression and improved QOL in chemotherapy patients, demonstrating high patient satisfaction and potential for clinical application.Clinical trial registration: The trial was registered in clinical trials.gov with the registration number ChiCTR2400093540. The first registration date was 06/12/2024.

Indexed as

Antineoplastic AgentsDeep LearningNeoplasmsAdultAgedAnxietyDepressionFemaleHumansMaleMiddle AgedPatient SatisfactionQuality of LifeAntineoplastic Agents

Identifiers

PMID40055437
PMCPMC11889089

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.