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Record W4405467197 · doi:10.1055/s-0044-1800886

2024 Standardization of Polysomnography Reports – A Consensus of the Brazilian Sleep Association

2024· article· en· W4405467197 on OpenAlexaff
Luciana Palombini, Luane Marques de Mello, Rogério Santos‐Silva, Márcia Assis, Thays Crosara Abrahão Cunha, Luciano F. Drager, Edilson Zancanella, Rosana Alves, Andrea Bacelar, Maurício da Cunha Bagnato, Rafael de Andrade Balsalobre, Esther Mandelbaum Gonçalves Bianchini, Evelyn Lucien Brasil, Fernando Morgadinho Santos Coelho, Bruno Bernardo Duarte, Álan Luiz Éckeli, Cibele Dal Fabbro, Aline Marques Franco, Pedro R. Genta, Lílian Chrystiane Giannasi, Mario André Leocádio-Miguel, Gustavo Antônio Moreira, Maria Fernanda Naufel, Luciana Moraes Studart-Pereira, Dalva Poyares, Márcia Pradella-Hallinan, Carolina Ferraz de Paula Soares, Leticia Azevedo Soster, Márcio Andrei Zanini, Gabriel Natan Pires

Bibliographic record

VenueSleep Science · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsUniversité de MontréalCanadian Sleep & Circadian NetworkCentres Intégré Universitaires de Santé et de Services Sociaux
FundersAssociação Fundo de Incentivo à Pesquisa
KeywordsPolysomnographyStandardizationDelphi methodSleep medicineMedicineFamily medicineVotingAssociation (psychology)MEDLINEDelphiPsychologyPolitical scienceComputer sciencePsychiatryInsomniaArtificial intelligenceSleep disorder

Abstract

fetched live from OpenAlex

Abstract Introduction The absence of standardized reporting for sleep medicine exams across different laboratories can lead to misinterpretation, diagnostic inconsistencies, and suboptimal treatment strategies. This document seeks to establish guidelines for the development of sleep study reports, covering recordings from studies of types 1 to 4, and represents the official position of Associação Brasileira do Sono (ABS; Brazilian Sleep Association) on the standardization of polysomnography (PSG) and cardiorespiratory polygraphies. Materials and Methods The recommendations for the items to be reported in PSG records were developed by means of a Delphi study, comprised of two voting rounds. In each round, participants had to vote regarding the appropriateness of items to be reported in type-1 to -4 sleep studies, rating them as recommended, optional, or not recommended. The consensus threshold was set at 66% in each voting round, or 75% for the combined responses of recommended and optional. Results The panel was comprised of 29 experts. After 2 voting rounds and subsequent deliberations by the steering committee, 352 items were included in the final set of recommendations. Consensus was achieved for 339 items (96.3%), of which 145 (41.2%) were classified as recommended, 154 as optional (43.8%), 35 as not recommended (9.9%), and 5 as not allowed (1.4%). No consensus was reached for 13 items (3.7%). The items recommended in this consensus are detailed in the main text. Conclusion These guidelines provide comprehensive recommendations for reporting diagnostic tests in sleep medicine.

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)0.007
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.299
Threshold uncertainty score0.666

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.005
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.027
GPT teacher head0.391
Teacher spread0.365 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations1
Published2024
Admission routes1
Has abstractyes

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