Evidence map›Paper›PMID 38831863›Full record

ArticleFrontiers in psychiatry2023

Inter-relationships of risk factors and pathways associated with all-cause mortality in patients with chronic schizophrenia.

Teng-Hung Yu, Thung-Lip Lee, Chin-Feng Hsuan, Cheng-Ching Wu, Chao-Ping Wang, Yung-Chuan Lu, Ching-Ting Wei, Fu-Mei Chung, Yau-Jiunn Lee, I-Ting Tsai and 1 more

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

11 authors.

Teng-Hung YuDivision of Cardiology, Department of Internal Medicine, E-Da Hospital, I-Shou University, Kaohsiung City, Taiwan.
Thung-Lip LeeDivision of Cardiology, Department of Internal Medicine, E-Da Hospital, I-Shou University, Kaohsiung City, Taiwan.
Chin-Feng HsuanDivision of Cardiology, Department of Internal Medicine, E-Da Hospital, I-Shou University, Kaohsiung City, Taiwan.
Cheng-Ching WuDivision of Cardiology, Department of Internal Medicine, E-Da Hospital, I-Shou University, Kaohsiung City, Taiwan.
Chao-Ping WangDivision of Cardiology, Department of Internal Medicine, E-Da Hospital, I-Shou University, Kaohsiung City, Taiwan.
Yung-Chuan LuSchool of Medicine for International Students, College of Medicine, I-Shou University, Kaohsiung City, Taiwan.
Ching-Ting WeiDivision of General Surgery, Department of Surgery, E-Da Hospital, I-Shou University, Kaohsiung City, Taiwan.
Fu-Mei ChungDivision of Cardiology, Department of Internal Medicine, E-Da Hospital, I-Shou University, Kaohsiung City, Taiwan.
Yau-Jiunn LeeLee's Endocrinologic Clinic, Pingtung, Taiwan.
I-Ting Tsai *School of Medicine, College of Medicine, I-Shou University, Kaohsiung City, Taiwan.
Wei-Hua Tang *Division of Cardiology, Department of Internal Medicine, Taipei Veterans General Hospital, Yuli Branch, Hualien, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Of all psychiatric disorders, schizophrenia is associated with the highest risk of all-cause mortality. This study aimed to investigate independent risk factors for all-cause mortality in patients with chronic schizophrenia. In addition, the possible causal inter-relationships among these independent risk factors and all-cause mortality were also explored. Methods: We conducted an analysis of 1,126 patients with chronic schizophrenia from our psychiatric department from April 2003 to August 2022, and retrospectively reviewed their medical records. The study endpoint was all-cause mortality. Baseline clinical characteristics including sociodemographic data, biochemical data, lifestyle factors, comorbidities and antipsychotic treatment were examined with Cox proportional hazards analysis. Results: The all-cause mortality rate was 3.9% (44 patients). Multivariate Cox regression analysis revealed that several factors were independently associated with all-cause mortality, including diabetes mellitus (DM), hypertension, heart failure, gastroesophageal reflux disease (GERD), peptic ulcer disease, ileus, underweight, fasting glucose, triglycerides, albumin, and hemoglobin. Structural equation modeling (SEM) analysis revealed that several factors had statistically significant direct effects on all-cause mortality. Heart failure, hypertension, underweight, age at onset, and ileus showed positive direct effects, while albumin and hemoglobin demonstrated negative direct effects. In addition, several factors had indirect effects on all-cause mortality. GERD indirectly affected all-cause mortality through ileus, and peptic ulcer disease had indirect effects through albumin and ileus. Ileus, underweight, DM, and hypertension also exhibited indirect effects through various pathways involving albumin, hemoglobin, and heart failure. Overall, the final model, which included these factors, explained 13% of the variability in all-cause mortality. Discussion: These results collectively suggest that the presence of DM, hypertension, heart failure, GERD, peptic ulcer disease, ileus, and underweight, along with lower levels of albumin or hemoglobin, were independently associated with all-cause mortality. The SEM analysis further revealed potential causal pathways and inter-relationships among these risk factors contributing to all-cause mortality in patients with chronic schizophrenia.

Indexed as

all-cause mortalitycausal pathwayschronic schizophreniaclinical and biochemical factorscomorbid illnessesinter-relationshiplifestyleStructural Equation Modeling

Identifiers

PMID38831863
PMCPMC11144862

What OpenQuestion 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 OpenQuestion graph.