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Record W2313882637 · doi:10.1097/jom.0000000000000305

The Value of Prospective Case Reports in Occupational Respiratory Allergy

2014· letter· en· W2313882637 on OpenAlexaffabout
Roberto Castaño, Eva Suarthana

Bibliographic record

VenueJournal of Occupational and Environmental Medicine · 2014
Typeletter
Languageen
FieldMedicine
TopicOccupational exposure and asthma
Canadian institutionsUniversité de MontréalHôpital du Sacré-Cœur de Montréal
Fundersnot available
KeywordsMedicineEtiologyDiseaseEpidemiologyProspective cohort studyFamily medicinePublicationPathology

Abstract

fetched live from OpenAlex

To the Editor: A case report is written for different reasons including the description of an unusual disease and to document unrecognized potential associations between a particular agent and a disease (ie, new etiology) among others. Although case reports are considered the lowest level of evidence, often they constitute the basis and motivation for conducting further research using more complex study designs such as cohort studies, case-control studies, and clinical trials to provide stronger scientific evidence.1 Every year, specialized journals publish case reports describing cases of occupational rhinitis (OR) and occupational asthma (OA). Between 2009 and 2010, there were about 40 published case reports and case series reported new causative agents of OA.2 Ideally, if similar findings are found and published in case report format, the logical next step should be to further strength the evidence by conducting well-planned experimental and/or occupational epidemiology studies. Nevertheless, one of the key criteria to accept a case report for publication is its originality, which means that case reports with similar findings are possibly rejected by journals. Therefore, it is likely that isolated publications of case reports (ie, without further confirmation of findings by similar case reports or case series) will not contribute significantly to advance knowledge on OR and OA. From a clinical practice point of view, moving from a retrospective to a prospective case report approach may be more advantageous.3 In the prospective case report approach, a clinician first reviews the literature to learn about recent advances in the diagnosis and management of a particular health condition seen frequently in his/her medical practice. The next step is extracting the most relevant information on diagnostic tools and methods from published guidelines.3 A prospective case report approach will allow researchers to prospectively evaluate potential new cases from their practice according to recommended guidelines and thus, reporting new cases of these diseases will more effectively contribute to the literature. Nevertheless, there are barriers to implement evidence-based clinical practice in the field of occupational respiratory allergy. Often, it is not feasible to implement current guidelines into clinical practice.4 For example, according to current international recommendations, a challenge test with objective monitoring of nasal responses is required to confirm the diagnosis of OR,5 whereas a challenge test with objective monitoring of bronchial responses is required to confirm the diagnosis of OA.6 We recently published a case report where specific inhalation challenge with parallel assessment of nasal and bronchial responses was conducted to confirm the diagnosis of OA and OR in patients complaining of work-related rhinitis and asthma symptoms.7 Unfortunately, objective but sophisticated tests, such as induced sputum and specific inhalation tests, are not always available to confirm the diagnosis. Thus, a lot of case reports describing cases of OR and/or OA solely based their diagnosis on the reported work-related rhinitis and asthma symptoms and the presence of specific sensitization. This approach could be sufficient to consider a case as probable OR and OA, but not to confirm the diagnosis. Despite its limitation, awareness of the advantages of the prospective case report approach would be an important step that leads to better and useful case reports. Roberto Castano, MD, PhD Division of Otolaryngology—Head and Neck Surgery, University of Montreal, and Chronic Disease Research Division Hôpital du Sacré-Coeur de Montréal Montreal, Canada Eva Suarthana, MD, PhD Chronic Disease Research Division Hôpital du Sacré-Coeur de Montréal Montreal, Canada

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.229
Threshold uncertainty score0.705

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.021
GPT teacher head0.284
Teacher spread0.263 · 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 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
Published2014
Admission routes2
Has abstractyes

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