Evidence map›Paper›PMID 35610595›Full record

ArticleBMC psychiatry2022

Risk factor analysis and nomogram construction for predicting suicidal ideation in patients with cancer.

Yuanyuan Luo, Qianlin Lai, Hong Huang, Jiahui Luo, Jingxia Miao, Rongrong Liao, Zhihui Yang, Lili Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 10% of its field
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Depression, non-medical pain prescriptions, and suicidal behavior in cancer survivors.Journal of cancer survivorship : research and practice · 2026
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  7. Identification of symptom clusters and sentinel symptoms during the first cycle of chemotherapy in patients with lung cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
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  11. Impact of alexithymia on suicidal ideation among patients with ovarian cancer: a moderated mediation model of self-perceived burden and general self-efficacy.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
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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

8 authors at 2 institutions in 1 country.

Yuanyuan Luo *School of Nursing, Southern Medical University, No. 1023 Sha Tai South road, Baiyun district, Guangzhou, 510515, China.
Qianlin Lai *School of Nursing, Southern Medical University, No. 1023 Sha Tai South road, Baiyun district, Guangzhou, 510515, China.
Hong HuangSchool of Nursing, Southern Medical University, No. 1023 Sha Tai South road, Baiyun district, Guangzhou, 510515, China.
Jiahui LuoSchool of Nursing, Southern Medical University, No. 1023 Sha Tai South road, Baiyun district, Guangzhou, 510515, China.
Jingxia MiaoDepartment of Medical Oncology, Nanfang Hospital, Southern Medical University, No. 1838, North Guangzhou Avenue, Baiyun District, Guangzhou, 510515, China.
Rongrong LiaoFirst Nursing Unit of Tumor Ward, Integrated Hospital of Traditional Chinese Medicine, Southern Medical University, No. 13, Pomegranate Gang Road, Haizhu District, Guangzhou, 510315, China.
Zhihui YangSchool of Nursing, Southern Medical University, No. 1023 Sha Tai South road, Baiyun district, Guangzhou, 510515, China. yzhatgz@163.com.
Lili ZhangSchool of Nursing, Southern Medical University, No. 1023 Sha Tai South road, Baiyun district, Guangzhou, 510515, China. zhanglili_gz@126.com.
Southern Medical University · CNTCM-Intigrated Cancer Center of Southern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSuicidal ideation in cancer patients is a critical challenge. At present, few studies focus on factors associated with suicidal ideation, and predictive models are still lacking. This study aimed at investigating the risk factors for suicidal ideation among cancer patients, and developed a predictive nomogram to screen high risk cancer patients for early prevention and intervention.

methodsA questionnaire survey was conducted among cancer patients between May 2021 and January 2022. The factors associated with suicidal ideation were used to construct a multivariate logistic regression model, which was visualized as a predictive nomogram to evaluate the risk of suicidal ideation. Areas under the curve, calibration plot, decision curve analysis, and internal and external validation were used to validate the discrimination, calibration and clinical usefulness of the model.

resultsA total of 820 patients with cancer were recruited for this study and 213 (25.98%) developed suicidal ideation. Levels of demoralization, depression and cancer staging, marital status, residence, medical financial burden, and living condition were influence factors for suicidal ideation. Comparing nomogram with Self-rating Idea of Suicide Scale (SIOSS), the nomogram had a satisfactory discrimination ability with an AUC of 0.859 (95% CI: 0.827-0.890) and 0.818 (95% CI: 0.764-0.873) in the training and validation sets, respectively. The calibration plot and decision curve analysis revealed that this nomogram was in good fitness and could be beneficial in clinical applications.

conclusionsSuicidal ideation is common in cancer patients. Levels of demoralization, depression and cancer staging were independent predictors of suicidal ideation. The nomogram is an effective and simple tool for predictive suicidal ideation in cancer patients.

Indexed as

NeoplasmsSuicidal IdeationFactor Analysis, StatisticalHumansNomogramsRisk FactorsCancer patientsNomogramRisk factorSuicidal ideation

Identifiers

PMID35610595
PMCPMC9128228
OpenAlexW4281395310

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.