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A summary to communicate evidence from systematic reviews to the public improved understanding and accessibility of information: a randomized controlled trial

2014· article· en· W2091033400 on OpenAlexafffundabout
Nancy Santesso, Tamara Rader, Elin Strømme Nilsen, Claire Glenton, Sarah Rosenbaum, Agustín Ciapponi, Lorenzo Moja, Jordi Pardo Pardo, Qi Zhou, Holger J. Schünemann

Bibliographic record

VenueJournal of Clinical Epidemiology · 2014
Typearticle
Languageen
FieldDecision Sciences
TopicMeta-analysis and systematic reviews
Canadian institutionsCochraneUniversity of OttawaMcMaster University
FundersCanadian Institutes of Health Research
KeywordsGrading (engineering)Randomized controlled trialInterquartile rangeMedicineQuality of evidenceSystematic reviewEvidence-based medicinePlain languageMEDLINEIntervention (counseling)Medical educationFamily medicineAlternative medicineNursingSurgeryPathology

Abstract

fetched live from OpenAlex

OBJECTIVES: To evaluate a new format of a summary, which presents research from synthesized evidence to patients and the public. STUDY DESIGN AND SETTING: We conducted a randomized controlled trial in 143 members of the public from five countries (Canada, Norway, Spain, Argentina, and Italy). Participants received either a new summary format (a plain language summary [PLS]) or the current format used in Cochrane systematic reviews. The new PLS presents information about the condition and intervention, a narrative summary of results, and a table of results with absolute numbers for effects of the intervention and quality of the evidence using Grading of Recommendations Assessment, Development, and Evaluation. RESULTS: With the new PLS, more participants understood the benefits and harms and quality of evidence (53% vs. 18%, P < 0.001); more answered each of the five questions correctly (P ≤ 0.001 for four questions); and they answered more questions correctly, median 3 (interquartile range [IQR]: 1-4) vs. 1 (IQR: 0-1), P < 0.001). Better understanding was independent of education level. More participants found information in the new PLS reliable, easy to find, easy to understand, and presented in a way that helped make decisions. Overall, participants preferred the new PLS. CONCLUSION: This new PLS format for patients and the public is a promising tool to translate evidence from synthesized research.

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)0.908
metaresearch head score (Gemma)0.983
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (broad)
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: Methods
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.889
Threshold uncertainty score0.970

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.9080.983
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0440.008
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0040.000
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 head0.915
GPT teacher head0.644
Teacher spread0.271 · 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 designRandomized trial
DomainMethods
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

Citations83
Published2014
Admission routes3
Has abstractyes

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