Evidence map›Paper›PMID 17532676›Full record

ArticleClinical drug investigation2005

Effect of once-daily alfuzosin on urinary symptoms and flow rate in benign prostatic hyperplasia : a 24-hour home-uroflowmetry evaluation.

Cosimo De Nunzio, Giorgio Franco, Costantino Leonardo, Alberto Trucchi, Andrea Tubaro, Cesare Laurenti

Abstract read
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In one paragraph

Article in Clinical drug investigation, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 36% of its field
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, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 1 institution in 1 country.

Cosimo De NunzioDepartment of Urology, ‘La Sapienza’, University of Rome, Rome, Italy.
Giorgio Franco
Costantino Leonardo
Alberto Trucchi
Andrea Tubaro
Cesare Laurenti
Sapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyse the clinical and 24-hour urinary flow efficacy of alfuzosin 10mg once daily (OD), by means of the International Prostate Symptom Score (I-PSS) and home-based uroflowmetry (P-Flow) measurement, in patients with lower urinary tract symptoms (LUTS) related to benign prostatic hyperplasia. MATERIALS AND

methodsIn this open-label trial, 12 male patients (median age 67 years) with an I-PSS >15 (median 16) and maximum urinary flow (Q(max)) <15 mL/sec were evaluated. Patients underwent two days of P-Flow evaluation, and then received alfuzosin 10mg OD from day 3 to day 9. On days 7 and 8 they underwent further P-Flow evaluation. A second post-baseline evaluation I-PSS was recorded on day 9.

resultsOverall, 328 urinary flows were recorded and evaluated, an average of 27 flows per patient. A statistically significant improvement in mean maximum flow: (Q(max)) [10.8 +/- 2.8 vs 12.4 +/- 3 mL/sec; p = 0.02] and urinary voiding volume (219 +/- 70 vs 233 +/- 55mL; p = 0.04) were observed after treatment compared with baseline. No differences in the number of urinary flows were observed between baseline and after treatment (13 +/- 2.9 vs 14 +/- 1.8 flows; p = 0.199). A statistically significant difference between the two evaluations was noted for I-PSS (15.7 +/- 0.8 and 9.5 +/- 2; p = 0.02). Mean Q(max) recorded during treatment was always higher than baseline at different daytime evaluations.

conclusionThe alfuzosin 10mg OD formulation showed a significant improvement in I-PSS as well as a significant improvement in urinary flow parameters (Q(max)and urinary voiding volume) lasting for 24 hours in patients with LUTS.

Identifiers

PMID17532676
OpenAlexW2184873493

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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.