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Thulium Fiber Laser: game changer or marketing hype?

2023· article· en· W4323536345 on OpenAlexaff
Eduardo González-Cuenca, Hassan Razvi

Bibliographic record

VenueRevista Mexicana de Urología · 2023
Typearticle
Languageen
FieldMedicine
TopicKidney Stones and Urolithiasis Treatments
Canadian institutionsWestern University
Fundersnot available
KeywordsThuliumLithotripsyHolmiumLaserLaser lithotripsyFiber laserMedicineOpticsSurgery

Abstract

fetched live from OpenAlex

Abstract Description: The Holmium: yttrium-aluminum-garnet (Ho:YAG) laser has become the gold-standard intracorporeal lithotripsy device since it was first introduced in the 1980’s. More recently, the Thulium Fiber Laser (TFL) was introduced into the clinical setting, with the potential to address some of the inherent limitations with Ho:YAG devices. In particular, early experience suggested the TFL provided enhanced dusting and fragmenting capabilities, less retropulsion and better stone free rates compared to the Ho:YAG laser. Relevance: Should the initial claims of the TFL’s better dusting properties be confirmed, this would be a significant advancement in the field. The ability to dust larger stones more rapidly could enhance the role of ureteroscopy and reduce the need for more invasive procedures. Conclusion: The initial experience with the TFL is promising and suggests an advantage over Ho:YAG laser lithotripsy. Properly conducted prospective randomized trials are required to further delineate the advantages, disadvantages and to optimize patient outcomes.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.084
Threshold uncertainty score0.282

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0030.004
Open science0.0010.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0840.017

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 head0.031
GPT teacher head0.305
Teacher spread0.273 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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

Citations2
Published2023
Admission routes1
Has abstractyes

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Same venueRevista Mexicana de UrologíaSame topicKidney Stones and Urolithiasis TreatmentsFrench-language works237,207