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MP79-16 SUPER PULSE THULIUM FIBER LASER COMPARED TO 120W HOLMIUM:YAG LASER: IMPACT ON RETROPULSION AND LASER FIBER BURN BACK

2019· article· en· W2941778082 on OpenAlexaboutno aff
Bodo E. Knudsen, Ben H. Chew, Wilson Molina

Bibliographic record

VenueThe Journal of Urology · 2019
Typearticle
Languageen
FieldMedicine
TopicKidney Stones and Urolithiasis Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsLaserFiber laserHolmiumThuliumMedicineOpticsMaterials sciencePhysics

Abstract

fetched live from OpenAlex

INTRODUCTION AND OBJECTIVES: To evaluate the risk factors of systemic inflammatory response syndrome (SIRS) following retrograde intrarenal surgery (RIRS).METHODS: A total of 260 patients who underwent RIRS were included in this retrospective study.21 out of 260 patients who developed postoperative SIRS were categorized as SIRS group and the rest 239 patients were categorized as non-SIRS group.Two-tailed t-test was used to determine significance of change in continuous variables whereas categorical data were compared with the Chi-squared test or Fisher's exact test for proportions.Multivariable logistic regression analysis was performed to identify the potential risk factors of SIRS as after adjusting for covariates that were statistically significant in the univariate analysis.RESULTS: 157 (60.4%) patients were males, and 103(39.6%)patients were females.The mean age was 48.4Æ12.2years and the mean stone burden was 1.7Æ0.7 cm.Preoperative positive midstream urine culture was noted in 47(18.1%patientsand solitary kidney was found in 31(11.9%)patients.The mean lithotripsy time was 34.3Æ13.0minutes and the mean operation time was 45.4Æ12.9minutes.Twenty one (8.1%)patients developed postoperative SIRS.Two patients developed clinical septic shock and recovered after treatment in intensive care unit (ICU).Multivariable logistic regression analysis showed that sex (OR[0.047,95%CI[0.009-0.238,p<0.001), irrigation method (OR[0.059,95%CI[0.008-0.446,p[0.006), access sheath (OR[0.200,95%CI[0.045-0.878,p[0.033), infection stone (OR[3.769,95%CI[0.829-17.134,p[0.086), stone burden (OR [2.789, 95%CI[0.761-10.225,p[0.122), irrigation flow rate (OR[1.240,95%CI[1.137-1.352,p<0.001), and lithotripsy time (OR[0.935,95%CI[0.856-1.021,p[0.133) were identified as independent risk factors of SIRS after RIRS.The equation was: LogitP[-9.404-3.050*Sex-2.826*(Irrigationmethod)-1.611*(Accesssheath)þ1.327*(Infection stone) þ1.026*(Stone burden)þ0.215*(Irrigationflow rate)-0.068*(Lithotripsytime).CONCLUSIONS: Females, infection stone, large stone burden, irrigation with high flow rate, small size access sheath and prolonged operation time were important risk factors of SIRS after RIRS.Syringe injection was regarded as a good method to provide irrigation with low flow rate and low pressure, and larger size access sheath can provide better drainage during RIRS, therefore to be preferred for RIRS procedures.The operation time should be seriously controlled in patients with high risk factors for SIRS, and staged procedures strategy should be preferred.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0150.001

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 head0.014
GPT teacher head0.281
Teacher spread0.267 · 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 designBench or experimental
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".

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Citations5
Published2019
Admission routes1
Has abstractyes

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