MétaCan
Menu
← Back to cohort
Record W4360620403 · doi:10.1183/13993003.02009-2022

Cystic fibrosis transmembrane conductance regulator modulators attenuate platelet activation and aggregation in blood of healthy donors and COVID-19 patients

2023· letter· en· W4360620403 on OpenAlexaff
E. Asmus, Weronika Karle, Markus C. Brack, Corey Wittig, Felix Behrens, Leander Reinshagen, Moritz Pfeiffer, Sabrina Schulz, Bertina Mandzimba-Maloko, Lasti Erfinanda, Paul L. Perret, Laura Michalick, Patrick Smeele, Endry H. T. Lim, Charissa E. van den Brom, Alexander B.A. Vonk, Toralf Kaiser, Norbert Suttorp, Stefan Hippenstiel, Leif Erik Sander, Florian Kurth, Ursula Rauch, Ulf Landmesser, Arash Haghikia, Robert Preißner, Harm Jan Bogaard, Martin Witzenrath, Wolfgang M. Kuebler, Robert Szulcek, Szandor Simmons

Bibliographic record

VenueEuropean Respiratory Journal · 2023
Typeletter
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
FundersEuropean Respiratory SocietyBayer VitalBerlin Institute of HealthBundesinstitut für Arzneimittel und MedizinprodukteCenter for Stroke Research BerlinFreie Universität BerlinDeutsche Stiftung für HerzforschungChina Scholarship CouncilAmsterdam University Medical CentersInternational Max Planck Research School for Environmental, Cellular and Molecular MicrobiologySanofiGlaxoSmithKlineDeutsches Zentrum für Herz-KreislaufforschungAmsterdam NeuroscienceBoston Scientific CorporationNovo NordiskBundesministerium für Bildung und ForschungTeva Pharmaceutical IndustriesDaiichi Sankyo EuropeBayerAstraZenecaAmgenPfizerDeutsche Forschungsgemeinschaft
KeywordsIvacaftorCystic fibrosis transmembrane conductance regulatorCystic fibrosisRegulatorPlatelet activationMedicinePlateletAgonistCoronavirus disease 2019 (COVID-19)ConductanceTransmembrane proteinInternal medicinePharmacologyCancer researchChemistryReceptorBiochemistryDisease

Abstract

fetched live from OpenAlex

Cystic fibrosis transmembrane conductance regulator (CFTR) modulators reduce agonist-induced platelet activation and function. CFTR modulators, such as ivacaftor, present a promising therapeutic strategy in thrombocytopathies, including severe COVID-19. https://bit.ly/3HJykdt

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)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.035
GPT teacher head0.300
Teacher spread0.265 · 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 designObservational
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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueEuropean Respiratory Journal→Same topicCystic Fibrosis Research Advances→French-language works237,207→