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Record W2916862098 · doi:10.1016/s2352-4642(19)30027-6

Phenotypic variability and disparities in treatment and outcomes of childhood arthritis throughout the world: an observational cohort study

2019· article· en· W2916862098 on OpenAlexafffund
Alessandro Consolaro, Gabriella Giancane, Alessandra Alongi, E. H. Pieter van Dijkhuizen, Amita Aggarwal, Sulaiman M. Al‐Mayouf, Francesca Bovis, Jaime de Inocencio Arocena, Erkan Demirkaya, Berit Flatø, Dirk Foell, Stella Maris Garay, Călin Lazăr, Daniel J. Lovell, Carolina Montobbio, Päivi Miettunen, Dimitrina Mihaylova, Susan Nielsen, I Orbán, Ingrīda Rumba-Rozenfelde, Cláudia Saad Magalhães, Nahid Shafaie, Gordana Sušić, Maria Trachana, Nico Wulffraat, Angela Pistorio, Alberto Martini, Nicolino Ruperto, Angelo Ravelli, Reem Abdwani, Yahya Aghighi, Constantin Ailioaie, Nuray Aktay Ayaz, Safiya Al‐Abrawi, Е.I. Alexeeva, Jordi Antón, Adriana Apostol, O Arguedas, Tadej Avčin, Patrizia Barone, Lillemor Berntson, Alina Boteanu, Yaryna Boyko, Rubén Burgos‐Vargas, Inmaculada Calvo Penadés, Gaëlle Chédeville, Rolando Cimaz, Adele Civino, Rita Consolini, Tamás Constantin, Rubén Cuttica, Neil A. Martin, Silvia Magni‐Manzoni, Carmen De Cunto, Pavla Doležalová, Maria Ekelund, Yasser El Miedany, Graciela Espada, Anne Estmann Christensen, Ivan Foeldvari, Romina Gallizzi, Gerd Ganser, V. Gerloni, Johannes‐Peter Haas, Liora Harel, Miroslav Harjaček, Soad Hashad, Troels Herlin, Cristina Herrera, Michaël Hofer, Dirk Holzinger, Gerd Horneff, Hans-Iko Huppertz, N Iagăru, Amparo Ibanez Estrella, Maka Ioseliani, Rik Joos, Sheila Knupp Feitosa de Oliveira, Sylvia Kamphuis, Özgür Kasapçopur, María Martha Katsicas, Raju Khubchandani, Anuela Kondi, Liisa Kröger, Francesco La Torre, Matilda Láday, Pekka Lahdenne, Maria Cristina Maggio, Maria Greca Magnolia, Clara Malagón, Merja Malin, Silvana Martino, José Melo‐Gomes, Pablo Mesa-del-Castillo, Andrea Militaru, Kirsten Minden, Angela Miniaci, Mohammad Hasan Moradinejad, И. П. Никишина, Ximena Norambuena, Ellen Nordal, Karaman Pagava, Violeta Panavienė, Serena Pastore, Sara Pieropan, Rosa Anna Podda, Chris Pruunsild, Anne Putto‐Laurila, Pierre Quartier, Agustín Remesal, Donato Rigante, Sarah Ringold, Lidia Rutkowska‐Sak, Marite Rygg, Rotraud K. Saurenmann, Sujata Sawhney, Christiaan Scott, Reza Shiari, Elżbieta Smolewska, Betül Sözeri, Joost F. Swart, Flávio Sztajnbok, Marta Torcoletti, Elena Tsitsami, Nikolay Tzaribachev, Erbil Ünsal, Yosef Uziel, Paula Vähäsalo, Boriana Varbanova, Veronika Vargová, Richard Veselý, Gordana Vijatov-Djuric, Soamarat Vilaiyuk, Jelena Vojinović, Olga Vougiouka, Pamela F. Weiss, Carine Wouters

Bibliographic record

VenueThe Lancet Child & Adolescent Health · 2019
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsLondon Health Sciences CentreAlberta Children's HospitalWestern University
FundersJanssen PharmaceuticalsUCB USUCBF. Hoffmann-La RocheCelgeneTakeda Pharmaceutical CompanyAbbVieBiogen IdecWyethNovartisGlaxoSmithKlineBristol-Myers SquibbAstraZenecaBoehringer IngelheimAmgenPfizerRocheAstellas Pharma USUniversity of British ColumbiaSanofiAbbott Laboratories
KeywordsObservational studyMedicineCohortCohort studyDemographyInternal medicineSociology

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.002
metaresearch head score (Gemma)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.042
GPT teacher head0.357
Teacher spread0.315 · 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

Citations214
Published2019
Admission routes2
Has abstractno

Explore more

Same venueThe Lancet Child & Adolescent HealthSame topicAutoimmune and Inflammatory Disorders ResearchFrench-language works237,207