ArticleFacts, views & vision in ObGyn2019
Heterogeneity of endometriosis lesions requires individualisation of diagnosis and treatment and a different approach to research and evidence based medicine.
Article in Facts, views & vision in ObGyn, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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
8 citing papers in PubMed.
- Endometriosis Among Surgical Specimens in Gabon: A 35-Year Retrospective Study.Women's health reports (New Rochelle, N.Y.) · 2025Article
- The "most bothersome symptom" construct: A qualitative study of Australians living with endometriosis.Acta obstetricia et gynecologica Scandinavica · 2024Article
- PARP-1, EpCAM, and FRα as potential targets for intraoperative detection and delineation of endometriosis: a quantitative tissue expression analysis.Reproductive biology and endocrinology : RB&E · 2024Article
- The role of peroxisome proliferator-activated receptors in endometriosis.Frontiers in medicine · 2024Review
- New concepts on the etiology of endometriosis.The journal of obstetrics and gynaecology research · 2023Article
- The Double Engines and Single Checkpoint Theory of Endometriosis.Biomedicines · 2022Review
- An Update on the Multifaceted Role of NF-kappaB in Endometriosis.International journal of biological sciences · 2022Review
- Physiomimetic Models of Adenomyosis.Seminars in reproductive medicine · 2020Review
Corrections and comments
- Republished as
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Statistical significance is used to analyse research findings and is together with biased free trials the cornerstone of evidence based medicine. However traditional statistics are based on the assumption that the population investigated is homogeneous without smaller hidden subgroups. The clinical, inflammatory, immunological, biochemical, histochemical and genetic-epigenetic heterogeneity of similar looking endometriosis lesions is a challenge for research and for diagnosis and treatment of endometriosis. The conclusions obtained by statistical testing of the entire group are not necessarily valid for subgroups. The importance is illustrated by the fact that a treatment with a beneficial effect in 80% of women but with exactly the same but opposite effect, worsening the disease in 20%, remains statistically highly significant. Since traditional statistics are unable to detect hidden subgroups, new approaches are mandatory. For diagnosis and treatment it is suggested to visualise individual data and to pay specific attention to the extremes of an analysis. For research it is important to integrate clinical, biochemical and histochemical data with molecular biological pathways and genetic-epigenetic analysis of the lesions.
Indexed as
Identifiers
31695858PMC6822957What 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.