Evidence map›Paper›PMID 39600583›Full record

ArticleUrology annals

Does tilt-retrograde intrarenal surgery enhance stone clearance and offer better surgical ergonomics in patients with renal calculi? A prospective randomized control study.

Arvind Ramachandran, Vivek Meyyappan, Hariharasudhan Sekar, Gayathri Thiruvengadam, Sriram Krishnamoorthy

Abstract read
In one paragraph

Article in Urology annals. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

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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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Arvind RamachandranDepartment of Urology and Renal Transplantation, Sri Ramachandra Medical College and Research Institute, Chennai, Tamil Nadu, India.
Vivek MeyyappanDepartment of Urology and Renal Transplantation, Sri Ramachandra Medical College and Research Institute, Chennai, Tamil Nadu, India.
Hariharasudhan SekarDepartment of Urology and Renal Transplantation, Sri Ramachandra Medical College and Research Institute, Chennai, Tamil Nadu, India.
Gayathri ThiruvengadamDepartment of Urology and Renal Transplantation, Sri Ramachandra Medical College and Research Institute, Chennai, Tamil Nadu, India.
Sriram KrishnamoorthyDepartment of Urology and Renal Transplantation, Sri Ramachandra Medical College and Research Institute, Chennai, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Retrograde intrarenal surgery (RIRS) is the standard treatment for renal calculi. Direct visualization and fragmentation are its major advantages. The variable stone clearance rates and the ergonomic challenges faced by urologists are a few limitations. Table tilt enhances stone clearance and improves surgical ergonomics by facilitating better access to stones and reducing procedural strain. Subjects and Methods: In this prospective study, patients with intrarenal calculi were randomized into standard lithotomy RIRS (S-RIRS) and table-tilted RIRS (T-RIRS) groups. Specified table tilts were suggested for each of the stone locations. The outcomes with regard to stone clearance, operative and lasing time, and ergonomics were studied. Results: About 100 patients were studied, with 50 in each group. The overall operating time and lasing time in the T-RIRS group were less than that in the S-RIRS group ( Conclusions: This is the first study to document the distinct advantages of T-RIRS and its benefits on surgical ergonomics. T-RIRS resulted in significantly shorter operative and lasing times, particularly for stones in lower calyces. Surgical ergonomics, assessed by the Borg CR-10 scale, were significantly better in the T-RIRS group. T-RIRS should become a standard of care for patients undergoing RIRS.

Indexed as

BORG category-ratio 10laserlithotripsyretrograde intrarenal surgeryT-retrograde intrarenal surgery

Identifiers

PMID39600583
PMCPMC11587936

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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.