Evidence map›Paper›PMID 33164091›Full record

ArticleSchizophrenia bulletin2021

Development and Validation of a Computerized Adaptive Assessment Tool for Discrimination and Measurement of Psychotic Symptoms.

Daniel Guinart, Renato de Filippis, Stella Rosson, Bhagyashree Patil, Lara Prizgint, Nahal Talasazan, Herbert Meltzer, John M Kane, Robert D Gibbons

Open access · bronzeAbstract readValidation Study
In one paragraph

Article in Schizophrenia bulletin, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
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

15 citing papers in PubMed, 28 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Application of Digital Medicine in Addiction.Journal of Shanghai Jiaotong University (science) · 2022
    Article
  15. 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

9 authors at 6 institutions in 2 countries.

Daniel GuinartDepartment of Psychiatry Research, The Zucker Hillside Hospital, New York, NY.
Renato de FilippisDepartment of Psychiatry Research, The Zucker Hillside Hospital, New York, NY.
Stella RossonDepartment of Psychiatry Research, The Zucker Hillside Hospital, New York, NY.
Bhagyashree PatilDepartment of Psychiatry Research, The Zucker Hillside Hospital, New York, NY.
Lara PrizgintDepartment of Psychiatry Research, The Zucker Hillside Hospital, New York, NY.
Nahal TalasazanDepartment of Psychiatry Research, The Zucker Hillside Hospital, New York, NY.
Herbert MeltzerDepartment of Psychiatry, Northwestern University, Chicago, IL.
John M KaneDepartment of Psychiatry Research, The Zucker Hillside Hospital, New York, NY.
Robert D GibbonsDepartments of Medicine, Public Health Sciences (Biostatistics), Psychiatry, Comparative Human Development, and the Committee on Quantitative Methods, Center for Health Statistics, University of Chicago, Chicago, IL.
Zucker Hillside Hospital · USFeinstein Institute for Medical Research · USMagna Graecia University · ITNorthwestern University · USUniversity of Chicago · USUniversity of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTime constraints limit the use of measurement-based approaches in research and routine clinical management of psychosis. Computerized adaptive testing (CAT) can reduce administration time, thus increasing measurement efficiency. This study aimed to develop and test the capacity of the CAT-Psychosis battery, both self-administered and rater-administered, to measure the severity of psychotic symptoms and discriminate psychosis from healthy controls.

methodsAn item bank was developed and calibrated. Two raters administered CAT-Psychosis for inter-rater reliability (IRR). Subjects rated themselves and were retested within 7 days for test-retest reliability. The Brief Psychiatric Rating Scale (BPRS) was administered for convergent validity and chart diagnosis, and the Structured Clinical Interview (SCID) was used to test psychosis discriminant validity.

resultsDevelopment and calibration study included 649 psychotic patients. Simulations revealed a correlation of r = .92 with the total 73-item bank score, using an average of 12 items. Validation study included 160 additional patients and 40 healthy controls. CAT-Psychosis showed convergent validity (clinician: r = 0.690; 95% confidence interval [95% CI]: 0.610-0.757; self-report: r = .690; 95% CI: 0.609-0.756), IRR (intraclass correlation coefficient [ICC] = 0.733; 95% CI: 0.611-0.828), and test-retest reliability (clinician ICC = 0.862; 95% CI: 0.767-0.922; self-report ICC = 0.815; 95%CI: 0.741-0.871). CAT-Psychosis could discriminate psychosis from healthy controls (clinician: area under the receiver operating characteristic curve [AUC] = 0.965, 95% CI: 0.945-0.984; self-report AUC = 0.850, 95% CI: 0.807-0.894). The median length of the clinician-administered assessment was 5 minutes (interquartile range [IQR]: 3:23-8:29 min) and 1 minute, 20 seconds (IQR: 0:57-2:09 min) for the self-report.

conclusionCAT-Psychosis can quickly and reliably assess the severity of psychosis and discriminate psychotic patients from healthy controls, creating an opportunity for frequent remote assessment and patient/population-level follow-up.

Indexed as

AdultBipolar DisorderDiagnosis, Computer-AssistedDiagnosis, DifferentialFemaleHumansMaleMiddle AgedPsychiatric Status Rating ScalesPsychometricsPsychotic DisordersReproducibility of ResultsSchizophreniaYoung Adultbipolar disorderpsychosisschizoaffective disorderschizophreniatesting

Identifiers

PMID33164091
PMCPMC8084426
OpenAlexW3098652390

What OpenQuestion holds

Textmetadata
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.