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Record W2735443104 · doi:10.1186/s13063-017-2060-y

Developing a core outcome set for chronic rhinosinusitis: a systematic review of outcomes utilised in the current literature

2017· review· en· W2735443104 on OpenAlexaff
Archana Soni‐Jaiswal, Raj Lakhani, Claire Hopkins

Bibliographic record

VenueTrials · 2017
Typereview
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsMedicineChronic rhinosinusitisSystematic reviewClinical trialRandomized controlled trialMEDLINEMeta-analysisIntervention (counseling)Physical therapyIntensive care medicineInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: A core outcome set (COS) is an agreed standardised collection of outcomes that should be measured and reported by all trials for a specific clinical area, in this case chronic rhinosinusitis. These are not restrictive and researchers may continue to explore other outcomes alongside these that they feel are relevant to their intervention. The aim of this systematic review was to identify the need for a COS for chronic rhinosinusitis. METHODS: A sensitive search strategy was used to identify all published Cochrane systematic reviews and randomised control trials of intervention for adult patients with chronic rhinosinusitis. Two independent authors reviewed these to obtain a list of outcomes and outcome measures reported by each clinical trial. RESULTS: Sixty-nine randomised control trials and eight Cochrane systematic reviews were included in this study. They reported 68 individual outcomes and outcome measures, with an average of four to ten outcomes per clinical trial. These outcomes were mapped to 23 subcategories belonging to eight core categories. CONCLUSIONS: The key finding of this review was the heterogeneity of outcomes reported and measured by clinical trials of patients with chronic rhinosinusitis, precluding meaningful meta-analysis of data. This review supports the need for development of a COS, to be used in future trials on adult patients with chronic rhinosinusitis.

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)0.062
metaresearch head score (Gemma)0.074
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.391
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0620.074
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0080.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0030.000
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 head0.874
GPT teacher head0.701
Teacher spread0.172 · 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; both teacher heads agree on what is shown here.

Study designSystematic review
Domainnot available
GenreReview

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

Citations6
Published2017
Admission routes1
Has abstractyes

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