Validity of the Leg-O-Meter, an Instrument to Measure Leg Circumference
Bibliographic record
Abstract
The objective of this study was to validate the Leg-O-Meter measure against the clinical assessment of edema made by physicians using data from a 1-year follow-up study of unse-lected patients with chronic venous disease of the leg (CVDL). The Leg-O-Meter consists of a tape measure fixed to a stand attached to a small board on which the patient is in standing position. Its reliability has been shown to be above 97%. Data from the Venous Insufficiency Epidemiologic and Economic Study (VEINES) were used: 1,521 patients from France, Belgium, Italy, and Quebec (Canada) who spontaneously consulted a physician between 1994 and 1995 with a complaint resulting from venous problems of the legs were included. Baseline variables included leg circumference measurements using the Leg-O-Meter; physicians were also asked to diagnose edema and report it as present or absent on each leg. Clinical edema and leg circumferences were assessed again 3 to 6 months after the baseline visit and 12 months after baseline. The tape measure of the Leg-O-Meter was fixed at 13 cm from the floor. The first and last assessments were used to evaluate the variation in edema during the follow-up period. Clinical variation in edema status was assessed as follows: improved, if edema was diagnosed at baseline but not at the final visit; unchanged, if edema was diagnosed at both
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".