Evidence map›Paper›PMID 37396931›Full record

ArticleCritical care explorations2023

Do Neuroprognostic Studies Account for Self-Fulfilling Prophecy Bias in Their Methodology? The SPIN Protocol for a Systematic Review.

Fernanda J P Teixeira, Bakhtawar Ahmad, Viktoriya Gibatova, Pouya A Ameli, Ivan da Silva, Thiago Carneiro, William Roth, Jenna L Ford, Terry Kit Selfe, David M Greer and 2 more

Abstract read
In one paragraph

Article in Critical care explorations, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. Article
  4. Observational
  5. Article
  6. 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

12 authors.

Fernanda J P TeixeiraDepartment of Neurology, University of Florida, Gainesville, FL.
Bakhtawar AhmadDepartment of Neurology, University of Florida, Gainesville, FL.
Viktoriya GibatovaDepartment of Neurology, University of Florida, Gainesville, FL.
Pouya A AmeliDepartment of Neurology, University of Florida, Gainesville, FL.
Ivan da SilvaDepartment of Neurology, University of Florida, Gainesville, FL.
Thiago CarneiroDepartment of Neurology, University of Florida, Gainesville, FL.
William RothDepartment of Neurology, University of Florida, Gainesville, FL.
Jenna L FordDepartment of Neurology, University of Florida, Gainesville, FL.
Terry Kit SelfeAcademic Research Consulting and Services, University of Florida, Gainesville, FL.
David M GreerDepartment of Neurology, Boston University, Boston, MA.
Katharina M BuslDepartment of Neurology, University of Florida, Gainesville, FL.
Carolina B MacielDepartment of Neurology, University of Florida, Gainesville, FL.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Self-fulfilling prophecy bias occurs when a perceived prognosis leads to treatment decisions that inherently modify outcomes of a patient, and thus, overinflate the prediction performance of prognostic methods. The goal of this series of systematic reviews is to characterize the extent to which neuroprognostic studies account for the potential impact of self-fulfilling prophecy bias in their methodology by assessing their adequacy of disclosing factors relevant to this bias. Methods: Studies evaluating the prediction performance of neuroprognostic tools in cardiac arrest, malignant ischemic stroke, traumatic brain injury, subarachnoid hemorrhage, and spontaneous intracerebral hemorrhage will be identified through PubMed, Cochrane, and Embase database searches. Two reviewers blinded to each other's assessment will perform screening and data extraction of included studies using Distiller SR and following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We will abstract data pertinent to the methodology of the studies relevant to self-fulfilling prophecy bias. Results: We will conduct a descriptive analysis of the data. We will summarize the reporting of mortality according to timing and mode of death, rates of exposure to withdrawal of life-sustaining therapy, reasoning behind limitations of supportive care, systematic use of standardized neuroprognostication algorithms and whether the tool being investigated is part of such assessments, and blinding of treatment team to results of neuroprognostic test being evaluated.

conclusionsWe will identify if neuroprognostic studies have been transparent in their methodology to factors that affect the self-fulfilling prophecy bias. Our results will serve as the foundation for standardization of neuroprognostic study methodologies by refining the quality of the data derived from such studies.

Indexed as

confirmation biasneuroprognosticationprognosisreference standardsreproducibility of resultsself-fulfilling prophecy bias

Identifiers

PMID37396931
PMCPMC10309514

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.