Evidence map›Paper›PMID 36170383›Full record

ReviewCurrent opinion in critical care2022

Pragmatic platform trials to improve the outcome of patients with acute kidney injury.

Roberta T Tallarico, Ary S Neto, Matthieu Legrand

Abstract readReview
In one paragraph

Review in Current opinion in critical care, 2022. 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. Review
  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

3 authors.

Roberta T TallaricoDivision of Critical Care Medicine, Department of Anesthesia & Perioperative Care, University of California, San Francisco (UCSF), San Francisco, California, USA.
Ary S NetoAustralian and New Zealand Intensive Care Research Centre (ANZIC-RC), School of Public Health and Preventive Medicine, Monash University.
Matthieu LegrandDivision of Critical Care Medicine, Department of Anesthesia & Perioperative Care, University of California, San Francisco (UCSF), San Francisco, California, USA.

Funding

Comprehensive Anesthesia Research TrainingT32GM008440 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Judith Hellman · 1996 to 2026
$5.5M
NIGMS NIH HHS T32 GM008440
6 · The paper itself

Abstract

purpose of reviewThere is an important need for improved diagnostic strategies and treatment among patients with acute kidney injury (AKI). Classical randomized clinical trials have generated relevant results in AKI but are associated with shortcomings, such as high costs and sometimes lack of generalizability. In this minireview, we discuss the value and limits of pragmatic trials and platform trials for AKI research. RECENT

findingsThe implementation of pragmatic and platform trials in critical care settings has generated relevant clinical evidence impacting clinical practice. Pragmatic and platform designs have recently been applied to patients at risk of AKI and represent a crucial opportunity to advance our understanding of optimized treatment and strategies in patients at risk of AKI or presenting with AKI. Trials embedded in electronic health records can facilitate patient enrollment and data collection. Platform trials have allowed for a more efficient study design. Although both pragmatic and platform trials have several advantages, they also come with the challenges and shortcomings discussed in this review. SUMMARY: Pragmatic and platform trials can provide clinical answers in 'real-life' settings, facilitate a significant sample size enrollment at a limited cost, and provide results that can have a faster implementation in clinical practice.

Indexed as

Acute Kidney InjuryAdaptive Clinical Trials as TopicCritical CareHumansResearch Design

Identifiers

PMID36170383
PMCPMC9613599

What OpenQuestion holds

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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.