Evidence map›Paper›PMID 30705991›Full record

ArticleContemporary clinical trials communications2019

Audio-digital recordings for surveillance in clinical trials of major depressive disorder.

Steven D Targum, Christopher J Catania

Abstract read
In one paragraph

Article in Contemporary clinical trials communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

2 authors.

Steven D TargumBracket Global, 2 Oliver Street, Suite 1003, Boston, MA, 02109, USA.
Christopher J CataniaBracket Global, 2 Oliver Street, Suite 1003, Boston, MA, 02109, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ratings surveillance is used in clinical trials to assure ratings reliability of site-based scores. One surveillance method employs audio-digital recordings of site-based clinician interviews to obtain remote, site-independent scores for assessment of paired scoring concordance and interview quality. We examined the utility of this surveillance strategy using paired site-independent scores derived from recorded site-based Montgomery-Asberg depression rating scale (MADRS) interviews obtained from patients with major depressive disorder (MDD) participating in 5 clinical trials. High correlations were noted between the 3736 paired site-based and site-independent scores across all visits. Some rater "outliers" were identified whose ratings performance improved following remediation. In 3 studies with available outcome data, the blinded remote ratings yielded a high predictive value (91.2%) for replicating treatment response rates. The magnitude of the total MADRS scores affected the directionality of paired scoring deviations in each of the 5 studies. Across all visits, site-based raters scored the more severe MADRS scores (≥30) higher than site-independent raters and the less severe MADRS scores (<20) lower than site-independent raters. Individual MADRS items were similarly affected by the directionality of symptom severity. This analysis affirms the utility of audio-digital recording of site-based interviews as a surveillance strategy for quality assurance (monitoring and remediation). In addition, the high predictive value of blinded remote ratings to replicate site-based treatment outcomes may be useful to affirm primary site-based results when there is a potential of functional unblinding. The use of remote ratings as a primary measure beyond its utility for quality assurance needs further exploration.

Indexed as

Audio-digital recordingsMADRSQuality assuranceRemote ratingsSurveillance

Identifiers

PMID30705991
PMCPMC6348193

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Registered trials

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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.