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Record W4388461415 · doi:10.1111/hae.14897

Direct data transfer of people with hereditary bleeding disorders from the Thai haemophilia treatment centre registry to the Annual Global Survey of the World Federation of Hemophilia

2023· letter· en· W4388461415 on OpenAlexaffabout
Ampaiwan Chuansumrit, Worachanok Youttananukorn, Nongnuch Sirachainan, Rungrote Natesirinilkul, Theera Ruchutrakool

Bibliographic record

VenueHaemophilia · 2023
Typeletter
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsCanadian Hemophilia Society
Fundersnot available
KeywordsMedicineHaemophiliaPatient registryPediatricsHaemophilia AHaemophilia BFamily medicine

Abstract

fetched live from OpenAlex

HaemophiliaEarly View LETTER TO THE EDITOR Direct data transfer of people with hereditary bleeding disorders from the Thai haemophilia treatment centre registry to the annual global survey of the world federation of haemophilia Ampaiwan Chuansumrit, Corresponding Author Ampaiwan Chuansumrit [email protected] orcid.org/0000-0003-1230-1591 Department of Pediatrics, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand Correspondence Ampaiwan Chuansumrit, Department of Pediatrics Faculty of Medicine, Ramathibodi Hospital, Mahidol University, 270 Rama VI Road, Bangkok, Thailand. Email: [email protected]Search for more papers by this authorWorachanok Youttananukorn, Worachanok Youttananukorn Data and Research Coordinator, World Federation of Hemophilia, Montreal, CanadaSearch for more papers by this authorNongnuch Sirachainan, Nongnuch Sirachainan orcid.org/0000-0001-8039-5476 Department of Pediatrics, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, ThailandSearch for more papers by this authorRungrote Natesirinilkul, Rungrote Natesirinilkul orcid.org/0000-0002-9840-3443 Department of Pediatrics, Faculty of Medicine, Chiang Mai University, Chiang Mai, ThailandSearch for more papers by this authorTheera Ruchutrakool, Theera Ruchutrakool orcid.org/0000-0001-5717-515X Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, ThailandSearch for more papers by this author Ampaiwan Chuansumrit, Corresponding Author Ampaiwan Chuansumrit [email protected] orcid.org/0000-0003-1230-1591 Department of Pediatrics, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand Correspondence Ampaiwan Chuansumrit, Department of Pediatrics Faculty of Medicine, Ramathibodi Hospital, Mahidol University, 270 Rama VI Road, Bangkok, Thailand. Email: [email protected]Search for more papers by this authorWorachanok Youttananukorn, Worachanok Youttananukorn Data and Research Coordinator, World Federation of Hemophilia, Montreal, CanadaSearch for more papers by this authorNongnuch Sirachainan, Nongnuch Sirachainan orcid.org/0000-0001-8039-5476 Department of Pediatrics, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, ThailandSearch for more papers by this authorRungrote Natesirinilkul, Rungrote Natesirinilkul orcid.org/0000-0002-9840-3443 Department of Pediatrics, Faculty of Medicine, Chiang Mai University, Chiang Mai, ThailandSearch for more papers by this authorTheera Ruchutrakool, Theera Ruchutrakool orcid.org/0000-0001-5717-515X Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, ThailandSearch for more papers by this author First published: 06 November 2023 https://doi.org/10.1111/hae.14897Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat REFERENCES 1Evatt BL, Robillard L. Establishing haemophilia care in developing countries: using data to overcome the barrier of pessimism. Haemophilia. 2000; 6: 131-134. 2 World Federation of Hemophilia. Guide to developing a national patient registry. WFH. 2005. 3Chuansumrit A, Youttananukorn W, Sirachainan N, Natesirinikul R, Ruchutrakool T. Direct transfer of data from people with haemophilia from the Thai haemophilia treatment centre registry to the World Bleeding Disorders Registry of the World Federation of Hemophilia. Haemophilia. 2022; 28: e68-e70. 4 World Federation of Hemophilia. Report on the WFH global survey 2021. WFH; 2021. 5 MySQL 5.7 Reference Manual 2021-07-22 (revision:70426) dev.mysql.co/doc/refman/5.7/en/ Access January 2020 6Delisle M. Mastering phpMyAdmin 3.4 for the effective MySQL management. Packt Publishing Ltd ; 2012: 1-394. 7 Welcome to phpMyAdmin's documentation. Copyright 2012–2021. The phpMyAdmin level team. Revision 78 de8792.docs.phpmyadmin.net/en/latest/. Accessed January 2020 8Stonebraker JS, Bolton-Maggs PHB, Brooker M, et al. The World Federation of Hemophilia Annual Global Survey 1999–2018. Haemophilia. 2020; 26(4): 591-600. Early ViewOnline Version of Record before inclusion in an issue ReferencesRelatedInformation

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)0.014
metaresearch head score (Gemma)0.143
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 score0.085
Threshold uncertainty score0.284

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.143
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0020.003
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0850.029

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 head0.051
GPT teacher head0.302
Teacher spread0.251 · 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".

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Citations1
Published2023
Admission routes2
Has abstractyes

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