O341 Minimally clinically important difference for endometriosis associated pelvic pain measured on a visual analogue scale
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
A recent analysis of data from patients with endometriosis showed that a non-inferiority margin of 10 mm may be more appropriate.
“A recent analysis of data from patients with endometriosis showed that a non-inferiority margin of 10 mm may be more appropriate (Gerlinger et al., 2009).”
From Dienogest is as effective as leuprolide acetate in treating the painful symptoms of endometriosis: a 24-week, randomized, multicentre, open-label trial (2010) · cites this paper as Gerlinger et al., 2009
Cited by
Sorted by citations
Strowitzki, T., Marr, J., Gerlinger, C., Faustmann, T., & Seitz, C. (2010) · Human Reproduction · doi:10.1093/humrep/dep469 · Cited by 381 · see citing works
Self-citation
- Authors
- Gerlinger, C., Schmitz, H., Schumacher, U., & Seitz, C.
- Venue
- International Journal of Gynecology & Obstetrics
- Publisher
- Wiley
- Published
- 2009-10
- Volume
- 107
- Issue
- S2
- ISSN
- 0020-6695 (ISSN-L)
- 0020-7292
- 1879-3479
- OpenAlex
- W1975826550
- Cited by
- 3
- References
- 0
- Type
- conference abstract
- Language
- en
- Open access
- closed
- Locations
- International Journal of Gynecology & Obstetrics (publishedVersion)
- Topics
- Health Sciences › Medicine › Reproductive Medicine › Endometriosis Research and Treatment
- Health Sciences › Medicine › Pharmacology › Musculoskeletal pain and rehabilitation
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
- Keywords
- endometriosis, pelvic pain, minimal clinically important difference, visual analogue scale, pain assessment, patient-reported outcomes
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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