Evidence map›Paper›PMID 12804492›Full record

SynthesisThe Cochrane database of systematic reviews2003

Surgery versus medical therapy for heavy menstrual bleeding.

J Marjoribanks, A Lethaby, C Farquhar

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in The Cochrane database of systematic reviews, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 7 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

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

25 citing papers in PubMed, 7 syntheses or guidelines pooled it, 57 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Guideline
  5. Surgery versus medical therapy for heavy menstrual bleeding.The Cochrane database of systematic reviews · 2016
    Pooled it
  6. Pooled it
  7. Pooled it
  8. Trial
  9. Trial
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Abnormal Uterine Bleeding.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2017
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

J MarjoribanksObstetrics and Gynaecology, University of Auckland, National Women's Hospital, Claude Road, Epsom, Auckland, New Zealand. j.marjoribanks@auckland.ac.nz
A Lethaby
C Farquhar
University of Auckland · NZWomen's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHeavy menstrual bleeding significantly impairs the quality of life of many otherwise healthy women. Perception of heavy bleeding is highly subjective and management of the condition usually depends upon the degree of bleeding and discomfort found acceptable by the individual woman. Medical treatment options include oral medications and a hormone-releasing intrauterine system (LNG-IUS). Surgical options include conservative surgery (uterine resection or ablation) and hysterectomy.

objectivesTo compare the effectiveness, safety and acceptability of surgery versus medical therapy for heavy menstrual bleeding. SEARCH STRATEGY: We searched the Cochrane Menstrual Disorders and Subfertility Group trials register (October 2002), Cochrane Controlled Trials Register (Issue 3, 2002), MEDLINE (1966 to October 2002), EMBASE (1980 to October 2002), Current Contents (1993 to week 45, 2002), Biological Abstracts (1969 to September 2002), PsycINFO (1985 to October 2002), CINAHL (1982 to October 2002), and reference lists of articles. We also contacted pharmaceutical companies and experts in the field. SELECTION CRITERIA: Controlled randomised trials comparing surgery (conservative surgery and hysterectomy) versus medical therapy (both oral and intrauterine) for heavy menstrual bleeding DATA COLLECTION AND ANALYSIS: Two reviewers independently assessed trials for quality and extracted data, calculating odds ratios for dichotomous outcomes and weighted mean differences for continuous outcomes. MAIN

resultsFive trials met the inclusion criteria. They randomised 625 women, 311 to receive surgery and 314 to receive medical treatment. One trial compared endometrial resection with oral medication: surgery proved significantly more effective in controlling bleeding (OR 10.62, 95% CI 5.30 to 21.27) and significantly less likely to cause side effects (OR 0.15, 95% CI 0.07 to 0.31). In the other four trials the medical arms received LNG-IUS and the surgical arms received conservative surgery or hysterectomy. At one year no statistically significant difference was shown between LNG-IUS and any surgical treatment in satisfaction rates or quality of life, though conservative surgery was significantly less likely to cause adverse effects (OR 0.24, 95% CI 0.11 to 0.49). Although conservative surgery was significantly more effective than LNG-IUS in controlling bleeding at one year (OR 3.99, 95% CI 1.53 to 10.38), a small trial showed no significant difference between the treatments at two and three years. Hysterectomy stopped all bleeding but caused serious complications for some women. REVIEWER'S

conclusionsSurgery reduces menstrual bleeding at one year more than medical treatments, but LNG-IUS appears equally beneficial in improving quality of life and may control bleeding as effectively as conservative surgery over the long term. Oral medication suits a minority of women long term.

Indexed as

Antifibrinolytic AgentsContraceptives, Oral, HormonalEndometriumFemaleHumansHysterectomyIntrauterine Devices, MedicatedMenorrhagiaQuality of LifeRandomized Controlled Trials as TopicAntifibrinolytic AgentsContraceptives, Oral, Hormonal

Identifiers

PMID12804492
OpenAlexW4240032299

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.