Evidence map›Paper›PMID 27863522›Full record

Observational studyBMC psychiatry2016

Cardiometabolic health, prescribed antipsychotics and health-related quality of life in people with schizophrenia-spectrum disorders: a cross-sectional study.

Daniel Bressington, Jolene Mui, Mei Ling Tse, Richard Gray, Eric F C Cheung, Wai Tong Chien

Registry-linked trialOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC psychiatry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02453217 (The Potential Efficacy and Acceptability of the Chinese Health Improvement Profile), which is not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.4field-weighted citation impact, top 5% 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.

NCT02453217 nacompletednot on this map

The Potential Efficacy and Acceptability of the Chinese Health Improvement Profile (CHIP) in Improving the Physical Health of People With Severe Mental Illness - A Pilot Clustered Randomised Controlled Trial

TypeinterventionalSponsorWai-Tong ChienRan2016 to 2019Enrolled144ConditionsSevere Mental Illness, Schizophrenia, Schizoaffective Disorder, Bipolar Affective DisorderArmsChinese CHIP, Treatment as usual
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 42 citations in OpenAlex.

  1. Trial
  2. Article
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  4. Article
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  6. Article
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  8. Article
  9. Schizophrenia Mortality: Barriers to Progress.The Psychiatric quarterly · 2019
    Review
  10. Article
  11. Article
  12. Article
  13. Observational
  14. 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

6 authors at 3 institutions in 3 countries.

Daniel BressingtonSchool of Nursing, The Hong Kong Polytechnic University, Kowloon, Hong Kong. dan.bressington@polyu.edu.hk.ORCID http://orcid.org/0000-0003-0951-2208
Jolene MuiCastle Peak Hospital, Tuen Mun, Hong Kong.
Mei Ling TseSchool of Nursing, The Hong Kong Polytechnic University, Kowloon, Hong Kong.
Richard GrayHealth Services Research Centre, Hamad Medical Corporation, Doha, Qatar.
Eric F C CheungCastle Peak Hospital, Tuen Mun, Hong Kong.
Wai Tong ChienSchool of Nursing, The Hong Kong Polytechnic University, Kowloon, Hong Kong.
Hong Kong Polytechnic University · HKCastle Peak Hospital · CNHamad Medical Corporation · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeople with schizophrenia-spectrum disorders (SSD) often have high levels of obesity and poor cardiometabolic health. Certain types of antipsychotics have been shown to contribute towards weight gain and there is some equivocal evidence that obesity is related to poor health-related quality of life (HRQoL) in people with SSD. It is also still uncertain if antipsychotic polypharmacy/higher doses of antipsychotics are linked with HRQoL and/or increased risk of obesity/Cardiovascular Disease (CVD). Therefore, this study aimed to examine potential relationships between prescribed antipsychotic medication regimens, cardiometabolic health risks and HRQoL in community-based Chinese people with SSD.

methodThis cross-sectional study reports the results of baseline measurements of a random sample of patients in an ongoing controlled trial of physical health intervention for people with severe mental illness. Data from these randomly-selected participants (n = 82) were analysed to calculate 10-year CVD relative-risk (using QRISK®2 score), estimate the prevalence of metabolic syndrome and contextualize patients' prescribed antipsychotics (types, combinations and Daily Defined Dose equivalent). Patients self-reported their HRQoL (SF12v2) and their obesity condition was assessed by waist-circumference and Body Mass Index (BMI).

resultsTwo-thirds of patients had a BMI ≥23 kg/m

conclusionThe findings indicate that cardiometabolic health risks in people with SSD may be more common than those reported in the general Hong Kong population. The results also provide further support for the need to consider antipsychotic polypharmacy and higher doses of antipsychotics as factors that may contribute towards cardiometabolic risk in Chinese patients with SSD. Clinicians in Hong Kong should consider using routine CVD risk screening, and be aware that younger male patients who are taking clozapine and prescribed higher Defined Daily Dose seem to have the highest relative-risk of CVD.

trial registrationClinicaltrials.gov NCT02453217 . Prospectively registered on 19

Indexed as

AdultAgedAntipsychotic AgentsCardiovascular DiseasesCross-Sectional StudiesFemaleHong KongHumansMaleMiddle AgedObesityPrevalenceQuality of LifeSchizophreniaSchizophrenic PsychologyAntipsychotic AgentsAntipsychoticsCardiometabolic healthCardiovascular disease riskDefined Daily DoseObesityPolypharmacyQRISK®2Quality of lifeSchizophreniaSF-12

Identifiers

PMID27863522
PMCPMC5116189
OpenAlexW2553299110

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.