Evidence map›Paper›PMID 40786863›Full record

ArticleInternational journal of nursing sciences2025

Effects of the "Internet +" nursing model based on user profiling on postoperative recovery in breast cancer: A prospective randomized controlled clinical trial.

Xiuyuan Xie, Yuanfang Ren, Jia Yao, Yujie Fei, Fenghe Liu, Qian Tong, Juanjuan Huang, Meihong Kou, Cuifeng Jin, Weijuan Yang and 1 more

Abstract read
In one paragraph

Article in International journal of nursing sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

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

11 authors.

Xiuyuan XieDepartment of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Jiangsu, China.
Yuanfang RenDepartment of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Jiangsu, China.
Jia YaoSchool of Public Health, Boston University, Boston, United States.
Yujie FeiSchool of Nursing, Nanjing Medical University, Jiangsu, China.
Fenghe LiuSchool of Nursing, Nanjing Medical University, Jiangsu, China.
Qian TongDepartment of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Jiangsu, China.
Juanjuan HuangDepartment of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Jiangsu, China.
Meihong KouDepartment of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Jiangsu, China.
Cuifeng JinDepartment of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Jiangsu, China.
Weijuan YangDepartment of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Jiangsu, China.
Haiping XuDepartment of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to explore the effectiveness and advantages of an "Internet +" nursing model based on user profiling in the rehabilitation of postoperative breast cancer patients. Methods: Breast cancer patients admitted to the hospital from July 2023 to September 2024 were enrolled. These patients were randomly assigned to a control group and an intervention group, with 52 patients in each group. The control group received routine nursing care, while the intervention group received an "Internet +" nursing intervention based on user profiling in addition to routine care. The intervention period lasted for one month following discharge. Before and one month after the intervention, the Fear of Progression Questionnaire-Short Form (FOP-Q-SF), the Fear of Cancer Recurrence Inventory-Short Form (FCRI-SF), Chinese Posttraumatic Growth Inventory (C-PTGI), and the Functional Assessment of Cancer Therapy-Breast (FACT-B) were applied to assess the effects of interventions. Results: A total of 104 patients were analyzed. After the intervention, FOP-Q-SF and FCRI-SF scores were significantly lower in the intervention group compared to the control group, with statistical significance ( Conclusions: An "Internet +" nursing model based on user profiling could reduce postoperative breast cancer patients fear of disease progression and cancer recurrence, also enhancing posttraumatic growth and overall quality of life.

Indexed as

Breast cancerFear of cancer recurrenceFear of disease progressionInternet +Post-traumatic growthQuality of lifeUser profiling

Identifiers

PMID40786863
PMCPMC12332440

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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.