MétaCan
Menu
Back to cohort
Record W3191955790 · doi:10.1017/s1047951121003413

2021 PACES expert consensus statement on the indications and management of cardiovascular implantable electronic devices in pediatric patients

2021· article· en· W3191955790 on OpenAlexaffabout
Maully J. Shah, Michael J. Silka, Jennifer N. Avari Silva, Seshadri Balaji, Cheyenne M. Beach, Monica N. Benjamin, Charles I. Berul, Bryan C. Cannon, Frank Cecchin, Mitchell I. Cohen, Aarti Dalal, Brynn E. Dechert, Anne Foster, Roman Gebauer, M. Cecilia Gonzalez Corcia, Prince J. Kannankeril, Peter P. Karpawich, Jeffery J. Kim, Mani Ram Krishna, Peter Kubuš, Martin J. LaPage, Douglas Y. Mah, Lindsey Malloy-Walton, Aya Miyazaki, Kara S. Motonaga, Mary C. Niu, Melissa Olen, Thomas Paul, Éric Rosenthal, Elizabeth V. Saarel, Massimo Stefano Silvetti, Elizabeth A. Stephenson, Reina Bianca Tan, John K. Triedman, Nicholas H. Von Bergen, Philip L. Wackel

Bibliographic record

VenueCardiology in the Young · 2021
Typearticle
Languageen
FieldMedicine
TopicCardiac pacing and defibrillation studies
Canadian institutionsHospital for Sick Children
FundersUniversity of PennsylvaniaFlorida Department of HealthChildren's Hospital of PhiladelphiaUniversity of Florida HealthHeart Rhythm SocietyUniversity of Southern CaliforniaNational Institutes of HealthWashington University in St. LouisYale UniversityOspedale Pediatrico Bambino GesùAmerican Heart Association
KeywordsMedicineExpert opinionConsensus conferenceStatement (logic)Canadian Cardiovascular SocietyScientific evidenceMEDLINEClinical trialFamily medicineMedical educationIntensive care medicinePathologyPsychiatryPolitical science

Abstract

fetched live from OpenAlex

In view of the increasing complexity of both cardiovascular implantable electronic devices (CIEDs) and patients in the current era, practice guidelines, by necessity, have become increasingly specific. This document is an expert consensus statement that has been developed to update and further delineate indications and management of CIEDs in pediatric patients, defined as ≤21 years of age, and is intended to focus primarily on the indications for CIEDs in the setting of specific disease categories. The document also highlights variations between previously published adult and pediatric CIED recommendations and provides rationale for underlying important differences. The document addresses some of the deterrents to CIED access in low- and middle-income countries and strategies to circumvent them. The document sections were divided up and drafted by the writing committee members according to their expertise. The recommendations represent the consensus opinion of the entire writing committee, graded by class of recommendation and level of evidence. Several questions addressed in this document either do not lend themselves to clinical trials or are rare disease entities, and in these instances recommendations are based on consensus expert opinion. Furthermore, specific recommendations, even when supported by substantial data, do not replace the need for clinical judgment and patient-specific decision-making. The recommendations were opened for public comment to Pediatric and Congenital Electrophysiology Society (PACES) members and underwent external review by the scientific and clinical document committee of the Heart Rhythm Society (HRS), the science advisory and coordinating committee of the American Heart Association (AHA), the American College of Cardiology (ACC), and the Association for European Paediatric and Congenital Cardiology (AEPC). The document received endorsement by all the collaborators and the Asia Pacific Heart Rhythm Society (APHRS), the Indian Heart Rhythm Society (IHRS), and the Latin American Heart Rhythm Society (LAHRS). This document is expected to provide support for clinicians and patients to allow for appropriate CIED use, appropriate CIED management, and appropriate CIED follow-up in pediatric patients.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.026
metaresearch head score (Gemma)0.084
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.136

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.084
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0050.003
Open science0.0040.003
Research integrity0.0100.012
Insufficient payload (model declined to judge)0.0160.020

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 head0.018
GPT teacher head0.277
Teacher spread0.258 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations64
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueCardiology in the YoungSame topicCardiac pacing and defibrillation studiesFrench-language works237,207