Subtopic Deep Dive
Medical Expulsive Therapy for Renal Colic
Research Guide
What is Medical Expulsive Therapy for Renal Colic?
Medical Expulsive Therapy (MET) uses alpha-blockers like tamsulosin to facilitate spontaneous passage of ureteral stones in patients with acute renal colic.
MET evaluates alpha-blockers and analgesics for stone expulsion without invasive procedures. Pickard et al. (2015) conducted a multicentre RCT showing no benefit over placebo (The Lancet, 345 citations). Campschroer et al. (2018) meta-analysis confirmed limited efficacy (Cochrane, 120 citations). Over 10 RCTs assess predictors like stone size and location.
Why It Matters
MET reduces emergency interventions for ureteral stones affecting 5-15% worldwide (Miller and Lingeman, 2007, BMJ, 293 citations). Successful expulsion avoids ureteroscopy, cutting costs and complications. Furyk et al. (2015) trial on tamsulosin for distal stones supports selective use in emergency settings (Annals of Emergency Medicine, 132 citations). Jendeberg et al. (2017) predictors aid patient selection (European Radiology, 139 citations). Optimizing MET improves outcomes in high-recurrence urolithiasis (Borghi et al., 2002, NEJM, 1009 citations).
Key Research Challenges
Efficacy Inconsistency Across Trials
RCTs show conflicting results on alpha-blockers for stone passage. Pickard et al. (2015) found no benefit in multicentre trial (The Lancet, 345 citations). Furyk et al. (2015) reported higher passage rates with tamsulosin (Annals, 132 citations).
Identifying Success Predictors
Stone size, location, and patient factors predict expulsion variably. Jendeberg et al. (2017) models use width and site (European Radiology, 139 citations). Moore et al. (2014) STONE score validates uncomplicated cases (BMJ, 154 citations).
Balancing Analgesia and MET Safety
NSAIDs outperform opioids for colic pain but interactions with alpha-blockers need study. Holdgate and Pollock (2004) review highlights vomiting risks with opioids (Cochrane, 140 citations). MET adds side effects like hypotension.
Essential Papers
Comparison of Two Diets for the Prevention of Recurrent Stones in Idiopathic Hypercalciuria
Loris Borghi, Tania Schianchi, Tiziana Meschi et al. · 2002 · New England Journal of Medicine · 1.0K citations
In men with recurrent calcium oxalate stones and hypercalciuria, restricted intake of animal protein and salt, combined with a normal calcium intake, provides greater protection than the traditiona...
Medical expulsive therapy in adults with ureteric colic: a multicentre, randomised, placebo-controlled trial
Robert Pickard, Kathryn N. Porter Starr, Graeme MacLennan et al. · 2015 · The Lancet · 345 citations
Management of kidney stones
Nicole L. Miller, James E. Lingeman · 2007 · BMJ · 293 citations
Urolithiasis affects 5-15% of the population worldwide.1 w1 Recurrence rates are close to 50%,2 w2 and the cost of urolithiasis to individuals and society is high. Acute renal colic is a common pre...
Derivation and validation of a clinical prediction rule for uncomplicated ureteral stone--the STONE score: retrospective and prospective observational cohort studies
Christopher L. Moore, Scott Bomann, Brock Daniels et al. · 2014 · BMJ · 154 citations
www.clinicaltrials.gov NCT01352676.
Trends in urological stone disease: a 5‐year update of hospital episode statistics
Hendrik Heers, Benjamin W. Turney · 2016 · British Journal of Urology · 146 citations
Objective To provide a 5‐year follow‐on update on the changes in prevalence and treatment of upper urinary tract ( UUT ) stone disease in England. Methods Data from the Hospital Episode Statistics ...
Nonsteroidal anti-inflammatory drugs (NSAIDS) versus opioids for acute renal colic
Anna Holdgate, T Pollock · 2004 · Cochrane Database of Systematic Reviews · 140 citations
Both NSAIDs and opioids can provide effective analgesia in acute renal colic. Opioids are associated with a higher incidence of adverse events, particularly vomiting. Given the high rate of vomitin...
Size matters: The width and location of a ureteral stone accurately predict the chance of spontaneous passage
Johan Jendeberg, Håkan Geijer, Muhammed Alshamari et al. · 2017 · European Radiology · 139 citations
• Non-enhanced computed tomography can predict the outcome of ureteral stones. • Stone size and location are the most important predictors of spontaneous passage. • Prediction models based on stone...
Reading Guide
Foundational Papers
Start with Miller and Lingeman (2007, BMJ, 293 citations) for urolithiasis overview including colic management; Holdgate and Pollock (2004, Cochrane, 140 citations) for analgesia in colic; Moore et al. (2014, BMJ, 154 citations) for STONE score predictors.
Recent Advances
Pickard et al. (2015, Lancet, 345 citations) placebo RCT; Furyk et al. (2015, Annals, 132 citations) tamsulosin trial; Campschroer et al. (2018, Cochrane, 120 citations) alpha-blocker meta-analysis.
Core Methods
Multicentre RCTs (Pickard 2015); double-blind placebo-controlled trials (Furyk 2015); STONE score derivation/validation (Moore 2014); CT-based prediction models (Jendeberg 2017); Cochrane meta-analyses (Campschroer 2018).
How PapersFlow Helps You Research Medical Expulsive Therapy for Renal Colic
Discover & Search
Research Agent uses searchPapers for 'Medical Expulsive Therapy renal colic alpha-blockers' retrieving Pickard et al. (2015, Lancet, 345 citations); citationGraph maps 120+ citing papers like Campschroer (2018); findSimilarPapers links Furyk et al. (2015) trials; exaSearch scans 250M+ OpenAlex for unpublished meta-analyses.
Analyze & Verify
Analysis Agent applies readPaperContent to extract endpoints from Pickard et al. (2015); verifyResponse with CoVe cross-checks expulsion rates against Furyk et al. (2015); runPythonAnalysis computes meta-analytic odds ratios from trial data using pandas; GRADE grading scores Pickard RCT as high-quality evidence.
Synthesize & Write
Synthesis Agent detects gaps like pediatric MET via contradiction flagging across reviews; Writing Agent uses latexEditText for trial comparison tables, latexSyncCitations for Borghi et al. (2002), latexCompile for PDF; exportMermaid diagrams STONE score predictors from Moore et al. (2014).
Use Cases
"Run meta-analysis on alpha-blocker expulsion rates from MET RCTs with stone size <10mm."
Research Agent → searchPapers → Analysis Agent → runPythonAnalysis (pandas forest plot of ORs from Pickard 2015 + Furyk 2015) → matplotlib figure of pooled efficacy.
"Draft LaTeX review section on MET predictors citing Jendeberg 2017 and Moore 2014."
Synthesis Agent → gap detection → Writing Agent → latexEditText (insert STONE score table) → latexSyncCitations → latexCompile → PDF with flowchart.
"Find GitHub repos analyzing ureteral stone passage models from recent papers."
Research Agent → paperExtractUrls (Jendeberg 2017) → paperFindGithubRepo → githubRepoInspect (Python predictors) → runPythonAnalysis sandbox validation.
Automated Workflows
Deep Research workflow conducts systematic review: searchPapers MET trials → citationGraph → DeepScan 7-steps analyzes Pickard (2015) vs Furyk (2015) with GRADE → structured report. Theorizer generates hypotheses on MET failure predictors from Moore (2014) STONE score + Jendeberg (2017) models. DeepScan verifies meta-analytic claims with CoVe on Campschroer (2018) Cochrane update.
Frequently Asked Questions
What is Medical Expulsive Therapy?
MET administers alpha-blockers like tamsulosin to promote spontaneous ureteral stone passage during renal colic. It targets distal stones <10mm.
What do key trials show on MET efficacy?
Pickard et al. (2015, Lancet, 345 citations) multicentre RCT found no placebo benefit. Furyk et al. (2015) showed tamsulosin superiority for distal stones (132 citations). Campschroer (2018) Cochrane confirms modest effects.
Which papers define MET best practices?
Campschroer et al. (2018, Cochrane, 120 citations) meta-analysis; Pickard et al. (2015, Lancet); Furyk et al. (2015, Annals).
What are open problems in MET research?
Inconsistent predictors beyond size/location; pediatric/adult differences; optimal alpha-blocker dosing. Need for biomarkers and long-term RCTs.
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