Evidence map›Paper›PMID 25034455›Full record

ArticleMetabolic brain disease2015

Is abnormal non-high-density lipoprotein cholesterol a gender-specific predictor for metabolic syndrome in patients with schizophrenia taking second-generation antipsychotics?

Esther Ching-Lan Lin, Wen-Chuan Shao, Hsin-Ju Yang, Miaofen Yen, Sheng-Yu Lee, Pei-Chun Wu, Ru-Band Lu

Abstract read
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In one paragraph

Article in Metabolic brain disease, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  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

7 authors.

Esther Ching-Lan LinDepartment of Nursing, College of Medicine, National Cheng Kung University, and National Cheng Kung University Hospital, Tainan, Taiwan, Republic of China, chinglan@mail.ncku.edu.tw.
Wen-Chuan Shao
Hsin-Ju Yang
Miaofen Yen
Sheng-Yu Lee
Pei-Chun Wu
Ru-Band Lu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evidence supports an association between metabolic syndrome (MetS) and schizophrenia. However, specific risk factors for MetS and gender differences in patients with schizophrenia taking second-generation antipsychotics (SGAs) have not been well explored. A cross-sectional cohort of 329 Han Chinese patients was recruited in a psychiatric hospital in central Taiwan. Using the definitions of the International Diabetes Federation for Chinese, the prevalence of MetS was 23.7% (men: 25.7%; women: 21.2%). Logistic regression analyses showed that patients with a BMI ≥ 24 and an abnormal non-high-density lipoprotein cholesterol (non-HDL-C) were significantly (p < 0.001) more likely to develop MetS. A BMI ≥ 24 was a significant risk factor in men (OR: 6.092, p < 0.001) and women (OR: 5.886, p < 0.001). An abnormal non-HDL-C was a significant specific risk factor for men with MetS (OR: 4.127, p < 0.001), but not for women. This study supports a greater prevalence of MetS in patients with schizophrenia taking SGAs than in the general population. Abnormal BMI and non-HDL-C were significantly associated with developing MetS, and an abnormal non-HDL-C was a specific risk factor for men. Future development of specific interventions and regular monitoring for MetS is imperative for early identification and prevention.

Indexed as

Sex FactorsAdultAnthropometryAntipsychotic AgentsChinaCholesterolComorbidityCross-Sectional StudiesFemaleHumansHypercholesterolemiaMaleMetabolic SyndromeMiddle AgedPrevalenceRisk FactorsAntipsychotic AgentsCholesterol

Identifiers

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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.