Docteur Philippe ORIOL

Bibliographie

• Singular case report of familial hypocalciuric hypercalcemia: a rare diagnosis of hypercalcemia in the older people

  2024

  ArticleAging Male

• Zemmour contre l'histoire

  2022

  Ouvrage

• Validation of a Score for the Detection of Subjects with High Risk for Severe High-Altitude Illness

  2021

  ArticleMedicine and Science in Sports and Exercise

• Causes of variation among rice models in yield response to CO2 examined with Free-Air CO2 Enrichment and growth chamber experiments

  2017

  ArticleScientific Reports

• Uncertainties in predicting rice yield by current crop models under a wide range of climatic conditions

  2015

  ArticleGlobal Change Biology

• Le pilotage de l'irrigation de la canne à sucre par tensiomètres

  1995

  ArticleAgriculture et développement

Source : HAL — archive ouverte CCSD/CNRS (couvre articles, chapitres EMC, communications congrès, thèses).

Localisation des cabinets

Adresses géocodées via la Base Adresse Nationale (api-adresse.data.gouv.fr). Précision indicative.

Lieux de consultation

• HOPITAL NORD - CHU42

  Avenue ALBERT RAIMOND, 42277 Saint-Priest-en-Jarez

  ☎ 0477828002Hospitalier🏥 Voir cet établissement

• CENTRE MUTUALISTE 11 NOVEMBRE

  70 Rue DU ONZE NOVEMBRE, 42000 Saint-Étienne

  ☎ 0477324537Libéral🏥 Voir cet établissement
  © OpenStreetMap

  📷 Street View ↗🗺️ Maps ↗OSM ↗

• CABINET DU DR PHILIPPE ORIOL

  LE CLOS — BOULEVARD PASTEUR, 42160 Andrézieux-Bouthéon

  ☎ 0477367675Libéral
  © OpenStreetMap

  📷 Street View ↗🗺️ Maps ↗OSM ↗

Tarifs & secteur de conventionnement

Secteur de conventionnement non disponible (médecin hospitalier ou non présent dans l'Annuaire santé CNAM des libéraux conventionnés).

Prendre rendez-vous & contact

Lien Doctolib = recherche Google site:doctolib.fr (le 1er résultat est presque toujours le profil correct s'il existe).

Top publications · les plus citées

• 1

  Validation of a Score for the Detection of Subjects with High Risk for Severe High-Altitude Illness

  Medicine and science in sports and exercise · 2021

  📚 25 citations🎯 RCR 2.80Top 18% NIH🔓 Open Access

  Lire l'abstract Crossref ↓

  ABSTRACT Purpose A decision tree based on a clinicophysiological score (severe high-altitude illness (SHAI) score) has been developed to detect subjects susceptible to SHAI. We aimed to validate this decision tree, to rationalize the prescription of acetazolamide (ACZ), and to specify the rule for a progressive acclimatization. Methods Data were obtained from 641 subjects in 15 European medical centers before and during a sojourn at high altitude. Depending on the value of the SHAI score, advice was given and ACZ was eventually prescribed. The outcome was the occurrence of SHAI at high altitude as a function of the SHAI score, ACZ prescription, and use and fulfillment of the acclimatization rule. Results The occurrence of SHAI was 22.6%, similar to what was observed 18 yr before (23.7%), whereas life-threatening forms of SHAI (high-altitude pulmonary and cerebral edema) were less frequent (2.6%–0.8%, P = 0.007). The negative predictive value of the decision tree based was 81%, suggesting that the procedure is efficient to detect subjects who will not suffer from SHAI, therefore limiting the use of ACZ. The maximal daily altitude gain that limits the occurrence of SHAI was established at 400 m. The occurrence of SHAI was reduced from 27% to 12% when the recommendations for ACZ use and 400-m daily altitude gain were respected (P < 0.001). Conclusions This multicenter study confirmed the interest of the SHAI score in predicting the individual risk for SHAI. The conditions for an optimized acclimatization (400-m rule) were also specified, and we proposed a rational decision tree for the prescription of ACZ, adapted to each individual tolerance to hypoxia.

• 2

  Causes of variation among rice models in yield response to CO(2) examined with Free-Air CO(2) Enrichment and growth chamber experiments

  Scientific reports · 2017

  📚 19 citations🎯 RCR 1.05🔓 Open Access📄 PDF gratuit ↗

  Lire l'abstract Crossref ↓

  AbstractThe CO2 fertilization effect is a major source of uncertainty in crop models for future yield forecasts, but coordinated efforts to determine the mechanisms of this uncertainty have been lacking. Here, we studied causes of uncertainty among 16 crop models in predicting rice yield in response to elevated [CO2] (E-[CO2]) by comparison to free-air CO2 enrichment (FACE) and chamber experiments. The model ensemble reproduced the experimental results well. However, yield prediction in response to E-[CO2] varied significantly among the rice models. The variation was not random: models that overestimated at one experiment simulated greater yield enhancements at the others. The variation was not associated with model structure or magnitude of photosynthetic response to E-[CO2] but was significantly associated with the predictions of leaf area. This suggests that modelled secondary effects of E-[CO2] on morphological development, primarily leaf area, are the sources of model uncertainty. Rice morphological development is conservative to carbon acquisition. Uncertainty will be reduced by incorporating this conservative nature of the morphological response to E-[CO2] into the models. Nitrogen levels, particularly under limited situations, make the prediction more uncertain. Improving models to account for [CO2] × N interactions is necessary to better evaluate management practices under climate change.

Publications scientifiques (3) — classées par pathologie

Source PubMed · Recherche par auteur (homonymes possibles, vérifier l'affiliation).

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