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Measurement of Sexual Functioning After Spinal Cord Injury: Preferred Instruments

2009· article· en· W1588990150 on OpenAlexaff
Marcalee Alexander, Nancy L. Brackett, Donald R. Bodner, Stacy Elliott, Amie B. Jackson, Jens Sønksen

Bibliographic record

VenueJournal of Spinal Cord Medicine · 2009
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsUniversity of British Columbia
FundersNational Institute on Disability and Rehabilitation Research
KeywordsSexual functionMedicineSexual dysfunctionSpinal cord injuryFertilityEjaculationErectile dysfunctionReproductive medicineGynecologyPhysical therapyPopulationPregnancySpinal cordSurgeryPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND/OBJECTIVE: To determine the utility of certain instruments to assess sexuality and fertility after SCI, an expert panel identified key areas to study and evaluated available instruments. These were rated according to certain predefined criteria. METHODS: The authors divided sexual issues into male and female sexual function, male reproductive function, and female reproductive function. The instruments that have been used most frequently to measure these aspects of sexual function over the past 5 years were identified by expert consensus. Finally, these instruments were subjected to a critical review. RESULTS: The Female Sexual Function Index (FSFI), measurement of vaginal pulse amplitude (VPA), the International Index of Erectile Function (IIEF), and the measurement of ejaculatory function and semen quality were considered appropriate measures to assess sexual responses and reproductive function after SCI. There were no measures identified to assess female reproductive function. CONCLUSIONS: For clinical trials aiming to improve sexual function after SCI, the FSFI or the IIEF is currently preferred. Although VPA is an appropriate means to assess female sexual responses, it is only useful for laboratory studies and is too invasive for use in clinical trials. For assessment of male fertility potential, assessment of ejaculatory capacity and semen analysis are recommended.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.533
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.115
GPT teacher head0.409
Teacher spread0.295 · 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.

Study designNon-randomized trial
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

Citations41
Published2009
Admission routes1
Has abstractyes

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