Evidence map›Paper›PMID 30302053›Full record

ArticleBiomedical informatics insights2018

Monte Carlo Simulations Demonstrate Algorithmic Interventions Over Time Reduce Hospitalisation in Patients With Schizophrenia and Bipolar Disorder.

Alissa Knight, Geoff A Jarrad, Geoff D Schrader, Jorg Strobel, Dennis Horton, Niranjan Bidargaddi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical informatics insights, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Alissa KnightPersonal Health Informatics, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.
Geoff A JarradData to Decisions Cooperative Research Centre, Adelaide, SA, Australia.
Geoff D SchraderPersonal Health Informatics, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.
Jorg StrobelPersonal Health Informatics, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.
Dennis HortonData to Decisions Cooperative Research Centre, Adelaide, SA, Australia.
Niranjan BidargaddiPersonal Health Informatics, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-adherence with pharmacologic treatment is associated with increased rates of relapse and rehospitalisation among patients with schizophrenia and bipolar disorder. To improve treatment response, remission, and recovery, research efforts are still needed to elucidate how to effectively map patient's response to medication treatment including both therapeutic and adverse effects, compliance, and satisfaction in the prodromal phase of illness (ie, the time period in between direct clinical consultation and relapse). The Actionable Intime Insights (AI

Indexed as

algorithmsbipolar disorderNon-compliancerehospitalisationschizophreniasimulation models

Identifiers

PMID30302053
PMCPMC6170953

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.