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Record W2753076916 · doi:10.1097/mpg.0000000000001731

Response to the Letters Regarding the North American Society of Pediatric Gastroenterology, Hepatology and Nutrition NAFLD Guidelines

2017· letter· en· W2753076916 on OpenAlexaboutno aff
Miriam B. Vos, Stephanie H. Abrams, Sarah E. Barlow, Sonia Caprio, Stephen R. Daniels, Rohit Kohli, Marialena Mouzaki, Pushpa Sathya, Jeffrey B. Schwimmer, Shikha S. Sundaram, Stavra A. Xanthakos

Bibliographic record

VenueJournal of Pediatric Gastroenterology and Nutrition · 2017
Typeletter
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHepatologyPediatric gastroenterologyInternal medicineNonalcoholic fatty liver diseaseGastroenterologyLiver diseaseGuidelineFatty liverDiseasePathology

Abstract

fetched live from OpenAlex

Reply: We thank the authors for their interest in the recent North American Society of Pediatric Gastroenterology, Hepatology and Nutrition (NASPGHAN) guidelines on pediatric nonalcoholic fatty liver disease (NAFLD) (1). Dr Vajro calls for a screening approach to minimize the rate of false negatives so that children with NAFLD will not be missed. The suggestions include the use of norm-based aminotransferase cutoffs with additional consideration to the use of abdominal ultrasound, as is recommended in the European Society of Pediatric Gastroenterology, Hepatology and Nutrition (ESPGHAN) guidelines. In direct contrast, Drs Koot and Benninga call for setting the ALT cutoff higher to improve specificity while decreasing sensitivity with the thought that, “missing NAFLD is not directly harmful.” Finally, Dr Noritz points out the differential diagnosis is even broader than what was included in the guideline, and suggests inclusion of creatine kinase in the diagnostic evaluation to assess for occult muscle disease as a cause of aminotransferase elevation. Collectively these letters support the complexity of screening for NAFLD and the challenge of identifying the cause of elevated liver chemistry once it is detected. In the guidelines, ALT is recommended as a screening tool because it is universally available, inexpensive, and has the largest body of evidence to supports its use. We agree that is important to use the correct cutoffs in interpreting ALT. The data presented are based upon the SAFETY study from the United States and the CALIPER study from Canada (2,3). Taken together, the aminotransferase cutoffs suggested in these studies were derived from populations that reflect nearly two-thirds of the North American population. The combination of high cost of ultrasound combined with low diagnostic accuracy limit its utility as a screening tool (4). ALT also has the advantage of being more amenable to repeat measurement and having a stronger relationship with disease severity. As also noted in the guidelines, having a one-time determination of any degree of ALT elevation is not sufficient to make a diagnosis of NAFLD, or to know the cause of the elevation. Nevertheless, we acknowledge the ongoing challenges of deciding when to repeat liver chemistries, the extent of additional testing required, and at what point to consider liver biopsy. In addition to the evidence-based recommendations, the guidelines document offered an algorithm that balances the need for clinical judgment regarding an individual patient with some guidance on how to interpret and evaluate ALT elevation. This algorithm uses the degree of ALT elevation to help direct the clinical approach. The document is intended to guide the clinician, not rigidly dictate an approach nor remove clinical judgment. The clinical history may support testing for etiologies beyond those enumerated in the guideline, such as creatine kinase. The ALT cutoffs represented in the algorithm are derived from the relevant setting of a large study of screening done in primary care with referral to pediatric gastroenterology for evaluation (5). Notably, 11% of children in this study who were overweight or obese with an ALT elevation were found to have advanced fibrosis. Thus, we agree that identifying NAFLD is important and would like to underscore that the concept that NAFLD is not harmful to children is outdated. There is a growing body of literature showing the risk for serious hepatic, endocrine, and cardiovascular outcomes in children with NAFLD (6–9).

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)0.005
metaresearch head score (Gemma)0.042
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.032
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.042
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0030.004
Open science0.0020.002
Research integrity0.0320.037
Insufficient payload (model declined to judge)0.0170.017

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 head0.024
GPT teacher head0.284
Teacher spread0.260 · 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
GenreCommentary

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

Citations2
Published2017
Admission routes1
Has abstractyes

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