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Record W2156952779 · doi:10.1001/jama.295.4.416

Does This Patient Have Hearing Impairment?

2006· review· en· W2156952779 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJAMA · 2006
Typereview
Languageen
FieldNeuroscience
TopicHearing Loss and Rehabilitation
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineAudiologyConfidence intervalAudiometryHearing lossMEDLINEPopulationTest (biology)Internal medicine

Abstract

fetched live from OpenAlex

CONTEXT: Hearing impairment is prevalent among the elderly population but commonly underdiagnosed. OBJECTIVE: To review the accuracy and precision of bedside clinical maneuvers for diagnosing hearing impairment. DATA SOURCES: MEDLINE and EMBASE databases (1966 to April 2005) were searched for English-language articles related to screening for hearing impairment. STUDY SELECTION: Original studies on the accuracy or precision of screening questions and tests were included. Articles that used unaccepted reference standards or contained insufficient data were excluded. Medical Subject Headings or keywords used in the search included hearing loss, hearing handicap, hearing tests, tuning fork, deafness, physical examination, sensitivity, specificity, audiometry, tuning fork tests, Rinne, Weber, audioscope, Hearing Handicap Inventory for the Elderly-Screening version, whispered voice test, sensorineural, and conductive. DATA EXTRACTION: One author screened all potential articles and 2 authors independently abstracted data. Differences were resolved by consensus. Each included study (n = 24) was assigned a methodological grade. DATA SYNTHESIS: A yes response when asking individuals whether they have hearing impairment has a summary likelihood ratio (LR) of 2.5 (95% confidence interval [CI], 1.7-3.6); a no response has an LR of 0.13 (95% CI, 0.09-0.19). A score of 8 or greater on the screening version of the Hearing Handicap Inventory for the Elderly (HHIE-S) has an LR of 3.8 (95% CI, 3.0-4.8); a score less than 8 has an LR of 0.38 (95% CI, 0.29-0.51). An abnormal Weber tuning fork test response has an LR of 1.6 (95% CI, 1.0-2.3); a normal response has an LR of 0.70 (95% CI, 0.48-1.0). An abnormal Rinne tuning fork test response has LRs ranging from 2.7 to 62; a normal response has LRs from 0.01 to 0.85. Inability to perceive a whispered voice has an LR of 6.1 (95% CI, 4.5-8.4); normal perception has an LR of 0.03 (95% CI, 0-0.24). Not passing the audioscope test has an LR of 2.4 (95% CI, 1.4-4.1); passing has an LR of 0.07 (95% CI, 0.03-0.17). CONCLUSIONS: Elderly individuals who acknowledge they have hearing impairment require audiometry, while those who reply no should be screened with the whispered-voice test. Individuals who perceive the whispered voice require no further testing, while those unable to perceive the voice require audiometry. The Weber and Rinne tests should not be used for general screening.

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.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.994
Threshold uncertainty score0.556

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.047
GPT teacher head0.325
Teacher spread0.278 · 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