Evidence map›Paper›PMID 32316847›Full record

ReviewJournal of neurotrauma2021

Prognostic Research in Traumatic Brain Injury: Markers, Modeling, and Methodological Principles.

Isabel R A Retel Helmrich, Hester F Lingsma, Alexis F Turgeon, Jose-Miguel Yamal, Ewout W Steyerberg

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of neurotrauma, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 15% 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, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
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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

5 authors at 4 institutions in 3 countries.

Isabel R A Retel HelmrichDepartment of Public Health, Center for Medical Decision Making, Erasmus MC - University Medical Center Rotterdam, the Netherlands.
Hester F LingsmaDepartment of Public Health, Center for Medical Decision Making, Erasmus MC - University Medical Center Rotterdam, the Netherlands.
Alexis F TurgeonCHU de Québec - Université Laval Research Centre, Population Health and Optimal Health Practices Research Unit, Trauma - Emergency - Critical Care Medicine, Division of Critical Care Medicine, Faculty of Medicine, Université Laval, Québec City, Québec, Canada.
Jose-Miguel YamalDepartment of Biostatistics and Data Science, University of Texas School of Public Health, Houston, Texas, USA.
Ewout W SteyerbergDepartment of Public Health, Center for Medical Decision Making, Erasmus MC - University Medical Center Rotterdam, the Netherlands.
Erasmus MC · NLLeiden University Medical Center · NLThe University of Texas Health Science Center at Houston · USUniversité Laval · CA

Funding

CIHR 275553CIHR 354039
6 · The paper itself

Abstract

Prognostic assessment in traumatic brain injury (TBI) is embedded deeply in clinical care. Considering the limitations of current prognostic indicators, there is increasing interest in understanding the role of new biomarkers, and in finding other prognostic indicators of long-term outcomes following TBI. New prognostic indicators may result in the development of more accurate prediction models that could be useful for both risk stratification and clinical decision making. We aimed to review methodological issues and provide tentative guidelines for prognostic research in TBI. Prognostic factor research focuses on the role of a specific patient or disease-related characteristic in relation to outcome. Typically, univariable relations of the prognostic factor are studied, followed by analyses adjusting for other variables related to the outcome. Following existing guidelines, we emphasize the importance of transparent reporting of patient and specimen characteristics, study design, clinical end-points, and statistical analysis. Prognostic model research considers combinations of predictors, with challenges for model specification, estimation, evaluation, validation, and presentation. We highlight modern approaches and opportunities related to missing values, exploration of non-linear effects, and assessing between-study heterogeneity. Prognostic research in TBI can be improved if key methodological principles are adhered to and when research is performed in collaboration among multiple centers to ensure generalizability.

Indexed as

PrognosisBiomarkersBrain Injuries, TraumaticHumansModels, BiologicalResearch DesignBiomarkersmarkersoutcomeprognostic researchREMARKtraumatic brain injuryTRIPOD

Identifiers

PMID32316847
PMCPMC8403181
OpenAlexW3017069466

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.