Individual patient data meta-analysis of randomized evidence to assess the effectiveness of laparoscopic uterosacral nerve ablation in chronic pelvic pain
Articolo
Data di Pubblicazione:
2010
Citazione:
Individual patient data meta-analysis of randomized evidence to assess the effectiveness of laparoscopic uterosacral nerve ablation in chronic pelvic pain / J.P. Daniels, L. Middleton, T. Xiong, R. Champaneria, N.P. Johnson, E.M. Lichten, C. Sutton, P. Vercellini, R. Gray, R.K. Hills, K.D. Jones, G. Aimi, K.S. Khan, I. LUNA IPD Meta analysis Collaborative Group. - In: HUMAN REPRODUCTION UPDATE. - ISSN 1355-4786. - 16:6(2010), pp. dmq031.568-dmq031.576. [10.1093/humupd/dmq031]
Abstract:
background: There have been conflicting results in randomized trials of the effects of laparoscopic uterosacral nerve ablation (LUNA) in chronic pelvic pain. Our objective was to perform a meta-analysis using individual patient data (IPD) to provide the most comprehensive and reliable assessment of the effectiveness of LUNA methods: Electronic searches were conducted in the Medline, Embase, PsycInfo and Cochrane Library databases from database inception
to August 2009. The reference lists of known relevant papers were searched for any further articles. Randomized trials comparing LUNA with no additional intervention were selected and authors contacted for IPD. Raw data were available from 862 women randomized into five
trials. Pain scores were calibrated to a 10-point scale and were analysed using a multilevel model allowing for repeated measures.
results: There was no significant difference between LUNA and No LUNA for the worst pain recorded over a 12 month time period
(mean difference 0.25 points in favour of No LUNA on a 0–10 point scale, 95% confidence interval: 20.08 to 0.58; P ¼ 0.1).
conclusions: LUNA does not result in improved chronic pelvic pain.
Tipologia IRIS:
01 - Articolo su periodico
Keywords:
individual patient data ; meta-analysis ; chronic pelvic pain ; dysmenorrhoea ; neuroablation
Elenco autori:
J.P. Daniels, L. Middleton, T. Xiong, R. Champaneria, N.P. Johnson, E.M. Lichten, C. Sutton, P. Vercellini, R. Gray, R.K. Hills, K.D. Jones, G. Aimi, K.S. Khan, I. LUNA IPD Meta analysis Collaborative Group
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