Evidence map›Paper›PMID 40498114›Full record

Trial reportUrolithiasis2025

L-arginine role for stone lower ureter: A randomized controlled trial.

Ahmed Mahmoud Mohammed Ahmed Elsherief, Ahmed Mahmoud Riyad, Emad Abdellah Ali, Amr Alam-Eldin Ahmed, Hassan Ali Gad, Ahmed Mamdouh Abd Elhameid

Erratum issuedAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Urolithiasis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Ahmed Mahmoud Mohammed Ahmed ElsheriefSohag University, Sohag, Egypt. ahmed-mahmoud@med.sohag.edu.eg.
Ahmed Mahmoud RiyadSohag University, Sohag, Egypt.
Emad Abdellah AliSohag University, Sohag, Egypt.
Amr Alam-Eldin AhmedAswan University, Aswān, Egypt.
Hassan Ali GadAswan University, Aswān, Egypt.
Ahmed Mamdouh Abd ElhameidSohag University, Sohag, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to evaluate the effects of L-arginine 1000 mg once daily as a medical expulsive therapy (MET) for lower ureteral stones. This prospective, randomized controlled study was conducted on 162 patients with ureteral stones; 9 patients were excluded due to loss to follow-up, and the remaining 153 patients were divided into three groups. Group I (control) included 51 patients who received a placebo. Group II included 51 patients who received 1000 mg of L-arginine once daily. Group III included 51 patients who received tamsulosin 0.4 mg once daily. There was a highly statistically significant difference between the studied groups regarding ultrasound (U/S) and plain urinary tract (PUT) findings after 4 weeks. Spontaneous stone expulsion rates (SER) in the control, L-arginine, and tamsulosin groups were 6 (11.8%), 48 (94.1%), and 16 (31.4%), respectively (p < 0.001). The mean ± SD of stone expulsion time in the control, L-arginine, and tamsulosin groups was 19.6 ± 5.85, 19.02 ± 5, and 20.58 ± 5.78 days, respectively (p < 0.001). There was no statistically significant difference between the groups regarding the number of daily colic episodes and total analgesic dosage required. However, a statistically significant difference was noted regarding stone density and hydronephrosis. It is concluded that L-arginine is more effective than tamsulosin in increasing the SER and reducing stone expulsion time, with better pain control, making it a safe and effective MET for ureteral stones.

Indexed as

ArginineSulfonamidesUreteral CalculiAdultFemaleHumansMaleMiddle AgedProspective StudiesTamsulosinTreatment OutcomeArginineSulfonamidesTamsulosin

Identifiers

PMID40498114
PMCPMC12159118

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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.