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Record W3044100646 · doi:10.1080/08880018.2020.1793850

Gut microbes in pediatric ALL survivorship

2020· letter· en· W3044100646 on OpenAlexaff
Laura M. Sly

Bibliographic record

VenuePediatric Hematology and Oncology · 2020
Typeletter
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedicineSurvivorship curveMetabolic syndromeObesityDysbiosisGut microbiomeDiseaseSiblingChildhood cancerChildhood obesityPsychological interventionMicrobiomePediatricsPediatric cancerChildhood leukemiaGut floraCancerGerontologyIntensive care medicineLeukemiaBioinformaticsLymphoblastic LeukemiaOverweightInternal medicineImmunologyPsychiatry

Abstract

fetched live from OpenAlex

Acute lymphoblastic leukemia (ALL) is the most common childhood cancer and has a 5 year survival rate of greater than 90%. Despite this extraordinary success, survivors face lifelong chronic health problems including a predisposition to obesity, metabolic syndrome, and resulting complications like cardiovascular disease. In this issue, Thomas et al. (Yang laboratory) investigated the gut microbiome in pediatric ALL survivors and healthy sibling controls. They identified key changes in operational taxonomic units (OTUs), which have been linked previously to obesity and metabolic syndrome. This study suggests that dysbiosis, which can predispose to life-long secondary complications of ALL, begins in childhood immediately after treatment and opens an ample window for interventions aimed at reducing obesity and metabolic syndrome in ALL survivors.

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)0.001
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.205
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0040.005
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 head0.043
GPT teacher head0.328
Teacher spread0.285 · 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
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

Citations3
Published2020
Admission routes1
Has abstractyes

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