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Il trattamento endovascolare laser della vena piccola safena: esperienza personale e confronto dei risultati con altre tecniche ablative endovascolari e chirurgiche tradizionali
La Standardizzazione nel trattamento laser endovenoso: revisione della letteratura ed esperienza personale
Predicting a prolonged air leak after video assisted thoracic surgery, is it really possible?
Validation of predictive risk models for prolonged air leak (PAL) is essential to
understand if they can help to reduce its incidence and complications. This
study aimed to evaluate both the clinical and statistical performances of 4
existing models. We selected 4 predictive PAL risk models based on their
scientific relevance. We referred to these models as Chicago, Bordeaux,
Leeds and Pittsburgh model, respectively, according to the affiliation place
of the first author. These predicting risk models were retrospectively applied
to patients recorded on the second edition of the Italian Video-Assisted
Thoracoscopic Surgery Group registry. Predictions for each patient were
calculated based on the logistic regression coefficient values provided in the
original manuscripts. All models were tested for their overall performance,
discrimination, and calibration. We recalibrated the original models with the
re-estimation of the model intercept and slope. We used curve decision
analysis to describe and compare the clinical effects of the studied risk mod
els.
Better statistical metrics characterize the models developed on larger
populations (Chicago and Bordeaux models). However, no model has a valid
benefit for threshold probability greater than 0.30. The Net benefit of the
most performing model (Bordeaux model) at the threshold probability of
0.11 is 23 of 1000 patients, burdened by 333 false positive cases. One of
1000 is the Net benefit at the threshold probability of 0.3. The use of PAL
scores based on preoperative predictive factors cannot be currently used in
a clinical setting because of a high false positive rate and low positive pre
dictive valu
Utilizzo del sulodexide nel trattamento delle ulcere venose: esperienzapersonale preliminare
utilizzo del sulodexide nel trattamento delle ulcere venose: esperienza personale preliminar
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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