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Record W2896178563 · doi:10.1373/jalm.2018.027169

What Is Really in This Weight Loss Supplement?

2018· article· en· W2896178563 on OpenAlexaff
Michelle Parker, Cristiana Stefan, Heather N. Reich, Vathany Kulasingam

Bibliographic record

VenueThe Journal of Applied Laboratory Medicine · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBiochemical Acid Research Studies
Canadian institutionsUniversity Health NetworkCentre for Addiction and Mental HealthUniversity of Toronto
Fundersnot available
KeywordsMedicineProteinuriaInternal medicineWeight lossNephropathyPhysiologyImmunologyPediatricsKidneyEndocrinologyDiabetes mellitusObesity

Abstract

fetched live from OpenAlex

A previously healthy 55-year-old woman with no history of kidney disease presented for a routine physical examination and was found to havenephrotic-range proteinuria of approximately 6 g/day. For the past year, the patient and her 50-year-old sister had been taking a weight loss supplement (MetaSwitchTM) they purchased online. The younger sister was found to have nephrotic syndrome, and subsequent kidney biopsies from both sisters were consistent with membranous nephropathy (MN). This disease can be idiopathic in nature or it can occur secondary to a wide range of etiologies, such as autoimmunity and toxin exposure (1); however, familial variants are exceedingly rare. The proteinuria gradually resolved in both sisters within 6 months of ceasing the intake of the supplements; this result raises strong suspicion of a nephrotoxic agent in the supplement. The claimed contents of the supplement were unremarkable in terms of ingredients with overt nephrotoxic potential: α lipoic acid, ginseng,citrulline, leucine, d-ribose-l-cysteine, potassium, and vitamins [vitamin D2, B1 (thiamine), B5 (pantetheine), B6, B12]. The laboratory was contacted to further investigate this case of suspected supplement contamination after common causes of MN were ruled out with extensive studies including serum and urine protein electrophoresis, antinuclear antibody and infectious disease screens, complement levels, and age-appropriate malignancy screens. Supplement capsules were …

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.099
Threshold uncertainty score0.469

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.009
GPT teacher head0.288
Teacher spread0.279 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations1
Published2018
Admission routes1
Has abstractyes

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