Evidence map›Paper›PMID 42260812›Full record

Observational studyMedicine2026

Interrupted time series analysis of a digital nursing decision support system for postoperative lymphorrhea prevention in thyroid cancer: A single-center retrospective study.

Xiu Du, Mei Duan, Yu Yang

Abstract readObservational Study
In one paragraph

Observational study in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

3 authors.

Xiu DuDepartment of Head and Neck Surgery, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.ORCID 0009-0001-8053-3557
Mei DuanDepartment of Respiratory and Critical Care Medicine, Yangchunhu Campus, Wuhan Central Hospital, Wuhan, Hubei Province, China.
Yu YangDepartment of Respiratory and Critical Care Medicine, Yangchunhu Campus, Wuhan Central Hospital, Wuhan, Hubei Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Postoperative lymphorrhea is a common complication of thyroid cancer surgery that prolongs hospital stays and raises medical costs. This study aimed to evaluate the association between a digital nursing decision support system (DNDSS)-assisted nursing and the incidence of postoperative lymphorrhea in thyroid cancer patients, and clarify the correlation between routine clinical indicators and lymphorrhea outcomes to provide evidence for optimizing clinical nursing strategies. A single-center retrospective observational interrupted time series (ITS) study was conducted on 1286 thyroid cancer patients who underwent surgery at Hubei Cancer Hospital from January 2019 to June 2024, divided into a pre-intervention group (January 2019 to December 2021, routine nursing, n = 612) and a post-intervention group (January 2022 to June 2024, DNDSS-assisted nursing, n = 674). ITS analysis was used to assess changes in lymphorrhea incidence, and multivariate logistic regression analysis to screen its risk factors. Baseline data were comparable between groups (all P > .05). ITS analysis showed the implementation of DNDSS was associated with a significant decrease in postoperative lymphorrhea incidence (21.08% vs 8.46%, P < .001), with a level change coefficient of -0.126 (95% confidence interval [CI]: -0.168 to -0.084, P < .001) and a slope change coefficient of -0.003 (95% CI: -0.005 to -0.001, P = .002). Preoperative hypoalbuminemia (<35 g/L), total neck dissection, prolonged operation time (>180 minutes), poor drainage tube nursing compliance and lack of personalized nutritional support were independent risk factors (all P < .05), while DNDSS-assisted nursing was an independent protective factor (odds ratio = 0.324, 95% CI: 0.215-0.489, P < .001). DNDSS is associated with a significantly reduced incidence of postoperative lymphorrhea in thyroid cancer patients, serving as an effective clinical nursing tool. Clinical nursing should focus on high-risk patients and improve nursing compliance and personalized nutritional support to further reduce lymphorrhea risk.

Indexed as

Decision Support Systems, ClinicalLymphatic DiseasesPostoperative ComplicationsThyroid NeoplasmsAdultFemaleHumansIncidenceInterrupted Time Series AnalysisMaleMiddle AgedRetrospective StudiesRisk FactorsThyroidectomydigital nursing decision support systeminterrupted time series analysispostoperative lymphorrhearisk factorthyroid cancer

Identifiers

PMID42260812
PMCPMC13246025

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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.