Evidence map›Paper›PMID 32272961›Full record

ArticleTrials2020

Methods for safety and endpoint ascertainment: identification of adverse events through scrutiny of negatively adjudicated events.

Alexander C Fanaroff, Ghazala Haque, Betsy Thomas, Allegra E Stone, Lynn M Perkins, Matthew Wilson, W Schuyler Jones, Chiara Melloni, Kenneth W Mahaffey, Karen P Alexander and 1 more

Abstract read
In one paragraph

Article in Trials, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Alexander C FanaroffCardiovascular Medicine Division, Penn Cardiovascular Outcomes, Quality and Evaluative Research Center, Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA.
Ghazala HaqueDuke Clinical Research Institute, Duke University, 200 Morris Street, Durham, NC, USA.
Betsy ThomasDuke Clinical Research Institute, Duke University, 200 Morris Street, Durham, NC, USA.
Allegra E StoneDuke Clinical Research Institute, Duke University, 200 Morris Street, Durham, NC, USA.
Lynn M PerkinsDuke Clinical Research Institute, Duke University, 200 Morris Street, Durham, NC, USA.
Matthew WilsonDuke Clinical Research Institute, Duke University, 200 Morris Street, Durham, NC, USA.
W Schuyler JonesDuke Clinical Research Institute, Duke University, 200 Morris Street, Durham, NC, USA.
Chiara MelloniDuke Clinical Research Institute, Duke University, 200 Morris Street, Durham, NC, USA.
Kenneth W MahaffeyStanford Center for Clinical Research, Department of Medicine, Stanford Univeristy School of Medicine, Stanford, CA, USA.
Karen P AlexanderDuke Clinical Research Institute, Duke University, 200 Morris Street, Durham, NC, USA.
Renato D LopesDuke Clinical Research Institute, Duke University, 200 Morris Street, Durham, NC, USA. renato.lopes@duke.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe primary goal of phase 2 and 3 clinical trials is to evaluate the safety and effectiveness of therapeutic interventions, and efficient and reproducible ascertainment of important clinical events, either as clinical outcome events (COEs) or adverse events (AEs), is critical. Clinical outcomes require consistency and clinical judgment, so these events are often adjudicated centrally by clinical events classification (CEC) physician reviewers using standardized definitions. In contrast, AEs are reported by sites to the trial coordinating center based on common reporting criteria set by regulatory authorities and trial sponsors. These different requirements have led to the development of separate tracks for COE and AE review. MAIN BODY: Potential COEs that fail to meet standardized definitions for CEC adjudication - i.e. negatively adjudicated events (NAE) - may meet criteria for AEs. Trial oversight practices require the sponsor to process AEs regardless of how the AEs are submitted; therefore, review of NAEs may be necessary to ensure that important AEs do not go unreported. The Duke Clinical Research Institute (DCRI) developed and implemented a process for scrutinizing NAEs to detect potential missed serious AEs. Initial experience with this process across two trials suggests that approximately 0.2% of NAEs are serious unexpected AEs that were not otherwise reported and another 1.5% are serious expected AEs.

conclusionsGiven their infrequent concealment of serious AEs in two large trials assessing cardiovascular outcomes, routine scrutiny of NAEs to identify AEs is not recommended at this time, though it may be useful in some trials and should be carefully considered by the trial team. Closer integration of data across safety surveillance and endpoint adjudication systems may enable scrutiny of NAEs when indicated while limiting complexity associated with this process.

Indexed as

Drug-Related Side Effects and Adverse ReactionsRandomized Controlled Trials as TopicEndpoint DeterminationHumans

Identifiers

PMID32272961
PMCPMC7147037

What OpenQuestion holds

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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.