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Record W2162871997 · doi:10.1002/pds.582

Is hormone replacement therapy protective for venous ulcer of the lower limbs?

2001· article· en· W2162871997 on OpenAlexafffund
Anick Bérard, Susan R. Kahn, Lucien Abenhaim

Bibliographic record

VenuePharmacoepidemiology and Drug Safety · 2001
Typearticle
Languageen
FieldMedicine
TopicDiagnosis and Treatment of Venous Diseases
Canadian institutionsMcGill UniversityJewish General Hospital
FundersMcGill University
KeywordsMedicineOdds ratioBody mass indexConfidence intervalVaricose veinsVenous thrombosisInternal medicineLogistic regressionHormone replacement therapy (female-to-male)Risk factorUnivariate analysisDeep veinSurgeryThrombosisMultivariate analysis

Abstract

fetched live from OpenAlex

PURPOSE: Estrogen has been found to increase the risk of deep vein thrombosis (DVT), which is associated with venous ulcers. A matched case-control study was therefore performed to quantify the effect of hormone replacement therapy (HRT) on the occurrence of venous ulcers of the lower limbs. METHODS: Women presenting to a participating vascular surgery department between January and December 1997 with a first open venous ulcer served as cases. Controls were sampled among women with sub-acute conditions such as skin problems, cold, headache/migraine, sore throat and mild ear infections, and were matched on referral site and age (+/- 5 years). Subjects were eligible for this study if they were postmenopausal, and excluded if they had non-palpable pedal pulse or any chronic active diseases. The study consisted of an interviewer-administered risk factor questionnaire. Conditional multivariate logistic regression analyses were performed adjusting for history of DVT and unbalanced distributions in important covariates. RESULTS: Forty-four cases and 80 matched controls were recruited. The mean age of participants was 64 years. HRT users were significantly thinner (27% with body mass index (BMI = (kg/height (m2)) > or = 27 vs. 41%, p = 0.04) and less likely to have a history of DVT (12 vs. 33%, p = 0.02) and varicose veins (VV) (52 vs. 69%, p = 0.04) than non-users. A matched univariate logistic regression analysis was performed to quantify the effect of HRT on venous ulcers and generated an odds ratio (OR) of 0.14 with 95% confidence interval of (0.04, 0.49)95%: adjusting for prior DVT resulted in an OR of 0.29 (0.09, 0.93)95%. When adjusting for BMI, history of VV, exercise, education, and smoking, the OR observed was 0.03 (0.01, 0.13)95%: further adjustment for prior DVT gave an OR estimate of 0.06 (0.01, 0.50)95%CI. CONCLUSIONS: Our study demonstrates that HRT has a protective effect on the occurrence of venous ulcers of the lower limbs. Adjusting for prior DVT moves the estimate closer to the null. DVT is a strong contraindication for HRT and therefore must be considered in order to eliminate confounding by contraindication.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.145
Threshold uncertainty score0.393

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.042
GPT teacher head0.352
Teacher spread0.310 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations36
Published2001
Admission routes2
Has abstractyes

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