MétaCan
Menu
Back to cohort
Record W2624998144 · doi:10.1016/j.nefro.2017.03.021

Guía de práctica clínica sobre el diagnóstico y tratamiento de la hiponatremia

2017· article· es· W2624998144 on OpenAlexaff
Goce Spasovski, Raymond Vanholder, Bruno Allolio, Djillali Annane, Steve Ball, Daniel Bichet, Guy Decaux, Wiebke Fenske, Ewout J. Hoorn, Carole Ichaï, Michael Joannidis, Alain Soupart, Robert Zietse, Maria Haller, Sabine N van der Veer, Wim Van Biesen, Evi Nagler, Liliana González–Espinoza, Alberto Ortíz

Bibliographic record

VenueNefrología · 2017
Typearticle
Languagees
FieldMedicine
TopicElectrolyte and hormonal disorders
Canadian institutionsUniversité de MontréalHôpital du Sacré-Cœur de Montréal
Fundersnot available
KeywordsHumanitiesMedicinePhilosophy

Abstract

fetched live from OpenAlex

La hiponatremia se define como una concentración sérica de sodio <135 mmol/L y es el trastorno hidroelectrolítico más frecuente en la práctica clínica. La hiponatremia puede causar un amplio espectro de síntomas clínicos, desde sutiles hasta graves o incluso mortales, y se asocia con aumento de la morbimortalidad y prolongación de la estancia hospitalaria. A pesar de ello, el manejo de los pacientes con hiponatremia sigue siendo problemático. La prevalencia de hiponatremia en enfermedades muy diferentes y su manejo por muy diversos especialistas han fomentado la existencia de protocolos de diagnóstico y tratamiento muy diversos, que varían con la especialidad y la institución. La Sociedad Europea de Medicina Intensiva (ESICM), la Sociedad Europea de Endocrinología (ESE) y la Asociación Renal Europea-Asociación Europea de Diálisis y Trasplante (ERA-EDTA), representada por la European Renal Best Practices (ERBP), han desarrollado la guía de práctica clínica sobre el enfoque diagnóstico y tratamiento de la hiponatremia como una empresa conjunta de las 3 sociedades que representan a los especialistas con un interés natural en la hiponatremia, a fin de ofrecer una visión común y holística del abordaje del problema. Además de ofrecer un enfoque riguroso en la metodología y la evaluación de la evidencia, el documento está centrado en resultados importantes para el paciente y en facilitar una herramienta útil para los médicos en la práctica clínica cotidiana. Presentamos ahora una versión abreviada de las recomendaciones y sugerencias sobre el diagnóstico y el tratamiento de la hiponatremia recogidas en la guía completa. Hyponatremia, defined as a serum sodium concentration <135 mmol/l, is the most common water-electrolyte imbalance encountered in clinical practice. It can lead to a wide spectrum of clinical symptoms, from mild to severe or even life threatening, and is associated with increased mortality, morbidity and length of hospital stay. Despite this, the management of hyponatremia patients remains problematic. The prevalence of hyponatremia in a wide variety of conditions and the fact that hyponatremia is managed by clinicians with a broad variety of backgrounds have fostered diverse institution- and specialty-based approaches to diagnosis and treatment. To obtain a common and holistic view, the European Society of Intensive Care Medicine (ESICM), the European Society of Endocrinology (ESE) and the European Renal Association-European Dialysis and Transplant Association (ERA-EDTA), represented by European Renal Best Practice (ERBP), have developed clinical practice guidelines on the diagnostic approach and treatment of hyponatremia as a joint venture of 3 societies representing specialists with a natural interest in hyponatremia. In addition to a rigorous approach to the methodology and evaluation of the evidence, the document focuses on patient-positive outcomes and on providing a useful tool for clinicians involved in everyday practice. In this article, we present an abridged version of the recommendations and suggestions for the diagnosis and treatment of hyponatremia extracted from the full guide.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.017
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.035
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0010.003
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.002

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 head0.010
GPT teacher head0.329
Teacher spread0.318 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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

Citations39
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueNefrologíaSame topicElectrolyte and hormonal disordersFrench-language works237,207