Evidence map›Paper›PMID 36495320›Full record

Observational studyUrolithiasis2022

Predicting the outcome of mini percutaneous nephrolithotomy using STONE nephrolithometry score-a single-center experience.

Bidhan Sigdel, Samir Shrestha, Pukar Maskey

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Urolithiasis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Bidhan SigdelDepartment of Surgery, Urology Unit, Patan Academy of Health Sciences, Patan Hospital, Lalitpur, Nepal. bidhansigdel@pahs.edu.np.ORCID http://orcid.org/0000-0002-8106-7578
Samir ShresthaDepartment of Surgery, Urology Unit, Patan Academy of Health Sciences, Patan Hospital, Lalitpur, Nepal.
Pukar MaskeyDepartment of Surgery, Urology Unit, Patan Academy of Health Sciences, Patan Hospital, Lalitpur, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To predict stone-free and complication rates following mini-percutaneous nephrolithotomy (m-PCNL) using STONE nephrolithometry score, this prospective observational study was conducted in the Department of Surgery, Urology Unit, Patan Hospital. All the patients undergoing m-PCNL were included. The cases were performed in the prone position, a single tract less than 18 French was made, and pneumatic lithotripsy was done. Stone-free rates were assessed with plain X-ray kidney, ureter, and bladder (X-ray KUB) on the first post-operative day or at 15 days follow-up. Complications within 30 days were graded using modified Clavien grading. A total of 106 patients were included in the final analysis. The overall stone-free rate was 83%. Among the individual variables, only staghorn calculus was associated with residual stone (p = 0.007). Patients who were rendered stone-free had statistically significantly lower STONE scores than those with residual stone (p < 0.001). The complication rate was 23%, and the majority were Clavien grade I complications. A higher STONE score had a greater risk of having complications but was not statistically significant (p = 0.11). STONE nephrolithometry score can predict stone complexity pre-operatively and subsequent stone-free status and thus, helps in pre-operative surgical planning and counseling for possible outcomes following m-PCNL.

Indexed as

Kidney CalculiNephrolithotomy, PercutaneousNephrostomy, PercutaneousStaghorn CalculiHumansRetrospective StudiesTreatment OutcomeComplicationsMini-PCNLStone-free rateSTONE score

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.