Evidence map›Paper›PMID 30782189›Full record

ArticleCritical care (London, England)2019

Designing nutrition-based interventional trials for the future: addressing the known knowns.

Danielle E Bear, Zudin A Puthucheary

Open access · goldAbstract readEditorialComment
In one paragraph

Article in Critical care (London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Danielle E BearDepartment of Nutrition and Dietetics, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Zudin A PuthuchearyWilliam Harvey Research Institute, Barts and The London School of Medicine & Dentistry, Queen Mary University of London, London, UK. Z.puthucheary@qmul.ac.uk.ORCID 0000-0003-4267-1892
King's College London · GBQueen Mary University of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The consistent decline in critical illness mortality has a significant effect on trial design, whereby either an improbable effect sizes or large number of patients are required.The signal-to-noise ratio is of particular interest for the critically ill. When considering the potential signal, interventions need to match outcomes in regard to biological plausibility. Provision of nutrition is a complex decision with many underappreciated aspects of noise. However, a fundamental interaction is often not accounted for time.Working as a community to evolve trial design will be our challenge for nutrition interventions in the critically ill for the future.

Indexed as

Critical IllnessNutritional StatusHumansFunctional outcomesNutritionRandomised controlled trialsTrial design

Identifiers

PMID30782189
PMCPMC6381615
OpenAlexW2921605360

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.