Evidence map›Paper›PMID 38680878›Full record

ArticleJournal of multidisciplinary healthcare2024

Preoperative Physical Dysfunction Characteristics and Influence Factors Among Elderly Patients with Early Lung Cancer: A Latent Class Analysis.

Rui Zhang, Zhengyao Yang, Xiaoyong Shen, Lu Xia, Yun Cheng

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  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

5 authors.

Rui ZhangDepartment of Nursing, Huadong Hospital Affiliated to Fudan University, Shanghai, 200040, People's Republic of China.ORCID 0009-0002-0285-3640
Zhengyao YangDepartment of Chest Surgery, Huadong Hospital Affiliated to Fudan University, Shanghai, 200040, People's Republic of China.
Xiaoyong ShenDepartment of Chest Surgery, Huadong Hospital Affiliated to Fudan University, Shanghai, 200040, People's Republic of China.
Lu XiaDay Surgery Unit, Huadong Hospital Affiliated to Fudan University, Shanghai, 200040, People's Republic of China.
Yun ChengSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, 518172, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To identify latent classes of preoperative physical dysfunction in elderly patients with early lung cancer. To analyze the differences in demographic characteristics between different classes. Methods: We invited elderly patients with early lung cancer who were scheduled for surgery at Shanghai Elderly Characteristic Hospital to participate in the study using a convenience sampling method. We took latent class analysis to divide elderly patients with early lung cancer into latent classes based on preoperative physical dysfunction features. Furthermore, we used single-factor analysis and multinomial logistic regression to investigate the influence variables of each latent class. Results: The characteristics of preoperative physical dysfunction in elderly patients with early lung cancer can be divided into "Anxiety/depression emotion-poor sleep group" "Frailty of physical function group" "Pulmonary hypofunction-low activity tolerance group". The distribution of age, chronic disease history, COPD history, smoking history and perceived social support level of elderly patients with early lung cancer in different potential categories were not the same, and the differences were statistically significant (P<0.05). The elderly lung cancer patients with chronic disease history and age ≥75 years were more likely to be classified as "frailty of physical function group". The elderly lung cancer patients with COPD and smoking history were more likely to be classified into "pulmonary hypofunction-low activity tolerance group". Elderly lung cancer patients with moderate or low degree of perceived social support were more prone to be grouped into "anxiety/depression emotion-poor sleep group". Conclusion: The variety of preoperative physical dysfunction seen in elderly patients with early lung cancer can be categorized into three latent classes. Medical professionals should create strategies for intervention for multiple patient populations with the goal of further enhancing their general state of life.

Indexed as

elderlyinfluence factorslatent class analysislung neoplasmpreoperative physical dysfunction

Identifiers

PMID38680878
PMCPMC11055519

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.