Evidence map›Paper›PMID 32649663›Full record

SynthesisPloS one2020

Systematic review of the methods of health economic models assessing antipsychotic medication for schizophrenia.

Huajie Jin, Paul Tappenden, Stewart Robinson, Evanthia Achilla, David Aceituno, Sarah Byford

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 3 pooled it
1.7field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 3 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Review
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 1 country.

Huajie JinKing's Health Economics (KHE), Institute of Psychiatry, Psychology & Neuroscience at King's College London, London, United Kingdom.ORCID 0000-0002-3872-3998
Paul TappendenHealth Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, United Kingdom.
Stewart RobinsonSchool of Business and Economics, Loughborough University, Loughborough, United Kingdom.
Evanthia AchillaKing's Health Economics (KHE), Institute of Psychiatry, Psychology & Neuroscience at King's College London, London, United Kingdom.
David AceitunoKing's Health Economics (KHE), Institute of Psychiatry, Psychology & Neuroscience at King's College London, London, United Kingdom.
Sarah ByfordKing's Health Economics (KHE), Institute of Psychiatry, Psychology & Neuroscience at King's College London, London, United Kingdom.
King's College London · GBLoughborough University · GBUniversity of Sheffield · GB

Funding

Medical Research Council MR/L011794/1
6 · The paper itself

Abstract

backgroundNumerous economic models have assessed the cost-effectiveness of antipsychotic medications in schizophrenia. It is important to understand what key impacts of antipsychotic medications were considered in the existing models and limitations of existing models in order to inform the development of future models.

objectivesThis systematic review aims to identify which clinical benefits, clinical harms, costs and cost savings of antipsychotic medication have been considered by existing models, to assess quality of existing models and to suggest good practice recommendations for future economic models of antipsychotic medications.

methodsAn electronic search was performed on multiple databases (MEDLINE, EMBASE, PsycInfo, Cochrane database of systematic reviews, The NHS Economic Evaluation Database and Health Technology Assessment database) to identify economic models of schizophrenia published between 2005-2020. Two independent reviewers selected studies for inclusion. Study quality was assessed using the National Institute for Health and Care Excellence (NICE) checklist and the Cooper hierarchy. Key impacts of antipsychotic medications considered by exiting models were descriptively summarised.

resultsSixty models were included. Existing models varied greatly in key impacts of antipsychotic medication included in the model, especially in clinical outcomes used for assessing reduction in psychotic symptoms and types of adverse events considered in the model. Quality of existing models was generally low due to failure to capture the health and cost impact of adverse events of antipsychotic medications and input data not obtained from best available source. Good practices for modelling antipsychotic medications are suggested. DISCUSSIONS: This review highlights inconsistency in key impacts considered by different models, and limitations of the existing models. Recommendations on future research are provided.

Indexed as

Models, EconomicAntipsychotic AgentsCost-Benefit AnalysisEconomics, MedicalHumansSchizophreniaAntipsychotic Agents

Identifiers

PMID32649663
PMCPMC7351140
OpenAlexW3033524424

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.