Evidence map›Paper›PMID 39720674›Full record

ArticleInternational journal of women's health2024

Symptomatic Nursing Management of Advanced Breast Cancer with Multiple Metastases During DS-8201 Treatment: A Case Report and Literature Review.

Na Liu, Chunhua Zhao, Dan Li, Siqi Liu, Hongyan Sun

Abstract readCase Reports
In one paragraph

Article in International journal of women's health, 2024. 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

5 authors.

Na Liu *Department of Breast, Electric Power Hospital, Beijing, 100073, People's Republic of China.
Chunhua ZhaoNursing Department, Electric Power Hospital, Beijing, 100073, People's Republic of China.
Dan Li *Department of Breast, Electric Power Hospital, Beijing, 100073, People's Republic of China.
Siqi LiuDepartment of Breast, Electric Power Hospital, Beijing, 100073, People's Republic of China.
Hongyan SunNursing Department, Electric Power Hospital, Beijing, 100073, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To summarise the therapeutic effects of symptomatic nursing during DS-8201 (Enhertu) treatment in a patient with advanced breast cancer with metastases to the ribs, lungs and liver. The patient, diagnosed with breast cancer with multiple metastases, was admitted to the hospital on 4 January 2021, 2 months after the discovery of a right breast mass. DS-8201 was administered during this period, and nursing care was tailored to address the patient's symptoms while on the medication. Before treatment, the Hamilton Anxiety Scale score was 22, the Pittsburgh Sleep Quality Index score was 19 and the Insomnia Severity Index score was 24. After treatment, the SAS score decreased to 15, the PSQI score to 12 and the ISI score to 11, indicating improvements in sleep quality and anxiety. Re-examination showed minimal change in left breast nodules compared with previous results, with no additional metastases detected. By the follow-up in September 2023, the patient showed no signs of obvious recurrence and had not returned to the hospital for further consultation. During a telephone follow-up in October 2023, the patient reported no significant discomfort, her condition remained stable and her health indicators were well controlled while on the medication. This study details the symptoms and corresponding nursing interventions for patients with advanced breast cancer undergoing DS-8201 treatment, providing a nursing reference for future patient care.

Indexed as

breast cancerEnhertumultiple metastasesnursing

Identifiers

PMID39720674
PMCPMC11668318

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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.