Evidence map›Paper›PMID 38216579›Full record

ArticleScientific reports2024

Distress and its influencing factors among Chinese patients with incidental pulmonary nodules: a cross-sectional study.

Jingmin Yuan, Fenglin Xu, Hui Ren, Mingwei Chen, Sifang Feng

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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

6 citing papers in PubMed.

  1. Early Individualized Psychological Intervention Using Virtual Reality-assisted Decision System Reduces Decisional Conflict in Patients with Pulmonary Nodules: A Randomized Controlled Trial.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2026
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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.

Jingmin Yuan *Health Science Center, Yangtze University, Jingzhou, China.
Fenglin Xu *Department of Nursing, Hubei College of Chinese Medicine, Jingzhou, China.
Hui RenDepartment of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, NO.277 Yanta West Road, Xi'an, China.
Mingwei ChenDepartment of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, NO.277 Yanta West Road, Xi'an, China. chenmingwei@xjtu.edu.cn.
Sifang FengDepartment of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, NO.277 Yanta West Road, Xi'an, China. fengsf8800@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study aims to investigate the distress level and its influencing factors in Chinese pulmonary nodules patients. A total of 163 outpatients in a tertiary hospital in Xi'an, China, were recruited and investigated by using the Impact of Event Scale, Decision Conflict Scale, Consultation Care Measure, Lung Cancer Worry Scale and a demographic questionnaire. The logistic regression model was used to identify the factors of distress. The mean IES score was 37.35 ± 16.65, which was a moderate level. Patients aged 50-60 years, with higher decision conflicts scores, lower physician-patient communication quality score, and who are anxious about the results of future tests or treatments had higher distress score. Distress levels were moderate in patients with pulmonary nodules. Communication between medical staff and patients is extremely important for the management of pulmonary nodules, which affects the quality of the patient's decision-making and his level of distress.

Indexed as

Lung NeoplasmsMultiple Pulmonary NodulesCommunicationCross-Sectional StudiesHumansPhysician-Patient Relations

Identifiers

PMID38216579
PMCPMC10786871

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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.