Evidence map›Paper›PMID 26693585›Full record

ReviewWomen's health (London, England)2016

Outcome measures for heavy menstrual bleeding.

Stephen D Quinn, Jenny Higham

Abstract readReview
In one paragraph

Review in Women's health (London, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Menstrual outcomes are frequently overlooked in von Willebrand disease trials.Research and practice in thrombosis and haemostasis · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Management of patients with elevated Self-BAT scores or other bleeding symptoms.Canadian family physician Medecin de famille canadien · 2022
    Review
  17. Article
  18. Article
  19. Article
  20. Article
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

2 authors.

Stephen D QuinnDepartment of Obstetrics & Gynaecology, Imperial College NHS Healthcare Trust, The Bays, South Wharf Rd, South Wharf Road St, St Mary's Hospital, London, W2 1NY, UK.
Jenny HighamDepartment of Obstetrics & Gynaecology, Imperial College NHS Healthcare Trust, The Bays, South Wharf Rd, South Wharf Road St, St Mary's Hospital, London, W2 1NY, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heavy menstrual bleeding is one of the most commonly encountered gynecological problems. While accurate objective quantification of menstrual blood loss is of value in the research setting, it is the subjective assessment of blood loss that is of greater importance when assessing the severity of heavy menstrual bleeding and any subsequent response to treatment. In this review the various approaches to objective, subjective and semi-subjective assessment of menstrual blood loss will be discussed.

Indexed as

Women's HealthBlood VolumeEndometriumFemaleHumansMenorrhagiaMenstruationQuality of LifeRisk Assessmentabnormal uterine bleedingheavy menstrual bleedingmenorrhagiamenstrual blood loss

Identifiers

PMID26693585
PMCPMC5779559

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.