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Record W2997226718 · doi:10.22374/jeleu.v3i1.75

A Comparative Study Between Holmium Laser, Pneumatic Lithotripsy and Shock Pulse in Terms of Efficacy and Safety in Percutaneous Nephrolithotomy (PCNL): A Prospective Randomized Study

2020· article· en· W2997226718 on OpenAlexvenueno aff
T. P. Rajeev, Sarbartha Kumar Pratihar, Debanga Sarma, Saumar Jyoti Baruah, Sasanka Kumar Barua, Puskal Kumar Bagchi, Mandeep Phukan

Bibliographic record

VenueJournal of Endoluminal Endourology · 2020
Typearticle
Languageen
FieldMedicine
TopicKidney Stones and Urolithiasis Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsPercutaneous nephrolithotomyMedicineLithotripsyShock wave lithotripsyPercutaneousSurgeryProspective cohort studyKidney stonesGeneral surgery

Abstract

fetched live from OpenAlex

Background and Objectives Percutaneous nephrolithotomy (PCNL) occupies an essential place in the treatment of upper urinary tract calculi. PCNL also accomplishes higher stone-free rates and requires fewer auxiliary procedures than shock wave lithotripsy (SWL) and ureterorenoscopy (URS) for renal stones between 1–2 cm. There are different intracorporeal lithotripter devices available. This study aims to compare the efficacy and safety of holmium laser, pneumatic lithotripsy and Shock Pulse in PCNL. Materials and Methods A prospective randomized study was performed in Gauhati Medical College & Hospital, Guwahati, Assam, India, between October 2016 to November 2018. Patients of renal calculi and upper ureteric calculi less than or equal to 2.5cms and functioning kidney on the ipsilateral side were included. 300 patients were randomized according to a random number generator. In the holmium laser, pneumatic and Shock Pulse groups’ number of patients was 96, 102, 102 respectively. Stone disintegration time (SDT), stone-free rate, failure rate, success rate, irrigant used, mean hematocrit drop were evaluated. Statistical analysis was done to compare and predict any significant difference. Results Patients were divided into groups depending on the lithotripter used: group A (n=96), group B (n=102), group C (n=102) were holmium laser, pneumatic lithotripsy, and Shock Pulse respectively. No significant difference in stone location (p=0.785),Hounsfield unit (p=0.115),complication rates between the groups. Stone free rate in laser, pneumatic lithotripter, and Shock Pulse were 81.25%, 67.65%, 82.35% (highest in Shock Pulse and lowest in the Pneumatic group) and failure rate were 6.25%, 14.7%, 5.89% respectively. A significant difference was found in terms of stone-free, success rate, clinically insignificant residual fragments(CIRF)and failure rates between the groups(p<0.001). Irrigant requirement (litre/mm3) between the groups is statistically significant (p<0.001) with the highest in Shock Pulse and lowest in the Pneumatic group. Mean hematocrit drop: 4.19%, 4.20%, 5.46% in Laser, Pneumatic and Shock Pulse respectively. No significant difference between Laser and Pneumatic group (p=0.907), but in Shock Pulse group it is significantly higher. (p< 0.001) Conclusion Efficacy of energy sources used in PCNL for stone fragmentation vary in terms of stone clearance, failure rates, SDT, irrigant requirement and mean hematocrit drop. In our study, we found stone clearance signifi-cantly higher in Shock Pulse than Pneumatic and Laser groups. Stone fragmentation volume per unit time highest in Shock Pulse and lowest in Laser. Irrigant requirement highest in Shock Pulse group and compa-rable between Laser and Pneumatic group. The higher irrigant requirement in the Shock Pulse group may be the cause for higher hematocrit drop in this group. Complications between the groups are comparable.

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)0.006
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.027
GPT teacher head0.316
Teacher spread0.289 · 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 designRandomized 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".

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Citations5
Published2020
Admission routes1
Has abstractyes

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