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Systematic Evaluation of the Robustness of the Evidence Supporting Current Guidelines on Myocardial Revascularization Using the Fragility Index

2019· review· en· W2982538631 on OpenAlexaff
Mario Gaudino, Irbaz Hameed, Giuseppe Biondi‐Zoccai, Derrick Y. Tam, Stephen Gerry, Mohamed Rahouma, Faiza Khan, Dominick J. Angiolillo, Umberto Benedetto, David P. Taggart, Leonard N. Girardi, Filippo Crea, Marc Ruel, Stephen E. Fremes

Bibliographic record

VenueCirculation Cardiovascular Quality and Outcomes · 2019
Typereview
Languageen
FieldMedicine
TopicCardiac Imaging and Diagnostics
Canadian institutionsUniversity of OttawaSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineRandomized controlled trialGuidelineRevascularizationInternal medicineSample size determinationCardiologyMyocardial infarctionEmergency medicineSurgeryPathology

Abstract

fetched live from OpenAlex

Background: RCTs (randomized controlled trials) are the preferred source of evidence to support professional societies’ guidelines. The fragility index (FI), defined as the minimum number of patients whose status would need to switch from nonevent to event to render a statistically significant result nonsignificant, quantitatively estimates the robustness of RCT results. We evaluate RCTs supporting current guidelines on myocardial revascularization using the FI and FI minus number of patients lost to follow-up. Methods and Results: The FI and FI minus number of patients lost to follow-up of RCTs supporting the 2012 American College of Cardiology/American Heart Association Guideline for the Diagnosis and Management of Patients with Stable Ischemic Heart Disease, the 2014 Focused Update of the American College of Cardiology/American Heart Association Guideline for the Diagnosis and Management of Patients with Stable Ischemic Heart Disease, and the 2018 European Society of Cardiology/European Association for Cardio-Thoracic Surgery Guidelines for Myocardial Revascularization were calculated. Of 414 RCTs identified, 160 were eligible for FI calculation. The median FI was 8.0 (95% CI, 5.0–9.0) and the median FI minus number of patients lost to follow-up was 1.0 (95% CI, 0.0–3.0). FI was ≤3, indicating very limited robustness, in 44 (27.5%) RCTs, and was lower than the number LTF, indicating limited robustness, in 68 (42.5%) RCTs. FI was significantly (all P <0.05) correlated with the sample size, number of events, statistical power, journal impact factor, use of intention-to-treat analysis, and of composite end points and negatively correlated with the use of percutaneous interventions in the treatment arm and the P -value level. Conclusions: More than a quarter of RCTs that support current guidelines on myocardial revascularization have a FI of 3 or lower, and over 40% of trials reveal a FI that is lower than the number of patients lost to follow-up. These findings suggest that the robustness of the findings that support current myocardial revascularization guidelines is tenuous and vulnerable to change as new evidence from RCTs appears.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.019
metaresearch head score (Gemma)0.026
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.375
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.006
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.385
GPT teacher head0.484
Teacher spread0.099 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations32
Published2019
Admission routes1
Has abstractyes

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