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Record W2965062001 · doi:10.1097/mop.0000000000000809

It takes a village: primary care of the pediatric liver transplant recipient

2019· review· en· W2965062001 on OpenAlexaff
Sara Hassan, Vicky L. Ng, Amal Aqul

Bibliographic record

VenueCurrent Opinion in Pediatrics · 2019
Typereview
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsSickKids FoundationUniversity of Toronto
Fundersnot available
KeywordsMedicinePsychosocialImmunosuppressionIntensive care medicineLiver transplantationQuality of life (healthcare)PopulationHealth careMEDLINEMultidisciplinary approachTransplantationPediatricsNursingInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Long-term survival is now the rule rather than the exception for infants and children who undergo liver transplantation for end-stage liver disease, metabolic liver conditions and a variety of other indications. Pediatricians and primary care providers play vital roles in the care and management of this patient population. The purpose of this review is to highlight key aspects important to the care of the pediatric liver transplant recipient. RECENT FINDINGS: Significant advances in immunosuppressive therapies and surgical techniques have contributed to improved graft and patient survival rates, shifting the focus beyond immediate survival to strategies to minimize comorbidities related to long-term immunosuppression during growing years, attend to patient and parent-reported outcomes and enhance quality of life. A multidisciplinary approach allows for monitoring and surveillance of both routine (growth, nutritional rehabilitation, cognitive development, mental and psychosocial health, contraception and daily activities) and transplant-related (adverse effects of immunosuppression, susceptible infections, extra-hepatic systems, transition from childhood to adolescence to adulthood) themes. SUMMARY: Effective communication between the primary care physician and the transplant team is imperative for optimizing best outcomes. The primary care provider should be aware of the multifacet nature of posttransplant management, which includes medication regimens, common complications and infections.

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 categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.938
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.004
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 head0.245
GPT teacher head0.472
Teacher spread0.227 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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

Citations9
Published2019
Admission routes1
Has abstractyes

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