SynthesisThe Cochrane database of systematic reviews2020
Interventions commonly available during pandemics for heavy menstrual bleeding: an overview of Cochrane Reviews.
Synthesis in The Cochrane database of systematic reviews, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.
- Interventions for heavy menstrual bleeding; overview of Cochrane reviews and network meta-analysis.The Cochrane database of systematic reviews · 2022Pooled it
- Interventions commonly available during pandemics for heavy menstrual bleeding: an overview of Cochrane Reviews.The Cochrane database of systematic reviews · 2020Pooled it
- The prevalence and burden of heavy menstrual bleeding, and market access barriers of medical interventions with a focus on low- and middle-income countries: a scoping review.BMC women's health · 2025Article
- Bleeding Through a Pandemic: Women's Lived Experiences with Heavy Menstrual Bleeding During the COVID-19 Pandemic.International journal of women's health · 2025Article
- Quantifying menorrhagia and overview of nonsurgical management of heavy menstrual bleeding.Hematology. American Society of Hematology. Education Program · 2024Review
- Uterine bleeding: how understanding endometrial physiology underpins menstrual health.Nature reviews. Endocrinology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWithin the context of heavy menstrual bleeding, pandemics impact upon women's assessment and treatment by healthcare providers.
objectivesTo summarise the evidence from Cochrane Reviews evaluating interventions for heavy menstrual bleeding that are commonly available during pandemics.
methodsWe sought published Cochrane Reviews, evaluating interventions that can continue during pandemics for women with heavy menstrual bleeding with no known underlying cause. We identified Cochrane Reviews by searching the Cochrane Database of Systematic Reviews in June 2020. The primary outcome was menstrual bleeding. Secondary outcomes included quality of life, patient satisfaction, side effects, and serious adverse events. We undertook the selection of systematic reviews, data extraction, and quality assessment in duplicate. We resolved any disagreements by discussion. We assessed review quality using the Assessing the Methodological Quality of Systematic Reviews (AMSTAR) 2 tool, and the certainty of the evidence for each outcome using GRADE methods. MAIN
resultsWe included four Cochrane Reviews, with 11 comparisons, data from 44 randomised controlled trials (RCTs), and 3196 women. We assessed all the reviews to be high quality. Non-steroidal anti-inflammatory drugs (NSAIDs) NSAIDs may be more effective in reducing heavy menstrual bleeding than placebo (mean difference (MD) -124 mL per cycle, 95% confidence interval (CI) -186 to -62 mL per cycle; 1 RCT, 11 women; low-certainty evidence). Mefenamic acid may be similar to naproxen (MD 21 mL per cycle, 95% CI -6 to 48 mL per cycle; 2 RCTs, 61 women; low-certainty evidence), and NSAIDs may be similar to combined hormonal contraceptives for heavy menstrual bleeding (MD 25 mL per cycle, 95% CI -22 to 73 mL per cycle; 1 RCT, 26 women; low-certainty evidence). NSAIDs may be be less effective in reducing menstrual bleeding than antifibrinolytics (relative risk (RR) 0.70, 95% CI 0.58 to 0.85; 2 RCTs, 161 women; low-certainty evidence). We are uncertain whether NSAIDs reduce menstrual blood loss more than short-cycle progestogens (RR 0.80, 95% CI 0.49 to 1.32; 1 RCT 32 women; very low-certainty evidence). Antifibrinolytics Antifibrinolytics appear to be more effective in reducing heavy menstrual bleeding than placebo (MD -53 mL per cycle, 95% CI -63 to -44 mL per cycle; 4 RCTs, 565 women; moderate-certainty evidence). Antifibrinolytics may be similar to placebo on the incidence of side effects (RR 1.05, 95% CI 0.93 to 1.18; 1 RCT, 297 women; low-certainty evidence), and they are probably similar on the incidence of serious adverse events (thrombotic events; RR 0.10, 95% CI 0.00 to 2.46; 2 RCT, 468 women; moderate-certainty evidence). Antifibrinolytics may be more effective in reducing heavy menstrual bleeding than short-cycle progestogen (MD -111 mL per cycle, 95% CI -178 mL to -44 mL per cycle; 1 RCT, 46 women; low-certainty evidence). We are uncertain whether antifibrinolytics are similar to short-cycle progestogens on quality of life (RR 1.67, 95% CI 0.76 to 3.64; 1 RCT, 44 women; very low-certainty evidence), patient satisfaction (RR 0.91, 95% CI 0.59 to 1.39; 1 RCT, 42 women; very low-certainty evidence), or side effects (RR 0.85, 95% CI 0.65 to 1.12; 3 RCTs, 211 women; very low-certainty evidence). We are uncertain whether antifibrinolytics are more effective in reducing heavy menstrual bleeding when compared with long-cycle progestogen (MD -9 points per cycle, 95% CI -30 to 12 points per cycle; 2 RCTs, 184 women; low-certainty evidence). Antifibrinolytics may increase self-reported improvement in menstrual bleeding when compared with long-cycle medroxyprogesterone acetate (RR 1.32, 95% CI 1.08 to 1.61; 1 RCT, 94 women; low-certainty evidence). Antifibrinolytics may be similar to long-cycle progestogens on quality of life (MD 5, 95% CI -2.49 to 12.49; 1 RCT, 90 women; low-certainty evidence). We are uncertain whether antifibrinolytics are similar to long-cycle progestogens on side effects (RR 0.58, 95% CI 0.33 to 1.00; 2 RCTs, 184 women; very low-certainty evidence). There were no trials comparing antifibrinolytics to combined hormonal contraceptives. Combined hormonal contraceptives Combined hormonal contraceptives appear to be more effective for heavy menstrual bleeding than placebo or no treatment (RR 13.25, 95% CI 2.94 to 59.64; 2 RCTs, 363 women; moderate-certainty evidence). Combined hormonal contraceptives are probably similar to placebo on the incidence of side effects (RR 1.53, 95% CI 0.90 to 2.60; 2 RCTs, 411 women; moderate-certainty evidence). Progestogens There were no trials comparing progestogens to placebo. Limitations in the evidence included risk of bias in the primary RCTs, inconsistency between the primary RCTs, and imprecision in effect estimates. AUTHORS'
conclusionsThere is moderate-certainty evidence that antifibrinolytics and combined hormonal contraceptives reduce heavy menstrual bleeding compared with placebo. There is low-certainty evidence that NSAIDs reduce heavy menstrual bleeding compared with placebo. There is low-certainty evidence that antifibrinolytics are more effective in reducing heavy menstrual bleeding when compared with NSAIDs and short-cycle progestogens, but we are unable to draw conclusions about the effects of antifibrinolytics compared to long-cycle progestogens, on low-certainty evidence.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.