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Record W2606394523 · doi:10.1093/aje/kwj198

THREE AUTHORS REPLY

2006· article· en· W2606394523 on OpenAlexaboutno aff
Ana Navas‐Acién, A. Richey Sharrett, Eliseo Güallar

Bibliographic record

VenueAmerican Journal of Epidemiology · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRetinoids in leukemia and cellular processes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

We thank Dr. Klatsky (1) for his interest in our paper (2) and his discussion of the outbreak of cases of heart failure during the episode of arsenic-contaminated beer poisoning in Manchester in 1900 (3, 4). This study was not included in our systematic review of arsenic and cardiovascular disease (5) because it lacked a comparison group. While we identified this outbreak and other papers using the electronic database OLDMEDLINE and the manual review of references, most of these early reports were case series. Indeed, of the studies on arsenic and cardiovascular disease published before 1950 that we identified, only the study by Bradford Hill and Faning in 1948 (6) fulfilled all the inclusion criteria for our systematic review. Since none of the studies included in our review investigated the link of arsenic with heart failure, we focused the discussion on the association of arsenic with arteriosclerotic cardiovascular outcomes, such as coronary heart disease or peripheral arterial disease. Motivated by Dr. Klatsky's highlight of the Manchester arsenic-beer episode, we discuss herein additional case series of heart failure or cardiomyopathy in which arsenic has been implicated. In addition to the Manchester outbreak, heart failure had been reported in a smaller arsenic-beer episode in Halifax in 1902 (7), in a heavy drinker patient receiving weekly injections of arsenic for therapeutic use in 1946 (8), and in a French vintner poisoned by arsenic in 1968 (9). Cardiomegaly was also described in eight of 10 autopsies conducted among children and young adults exposed to arsenic in drinking water in Antofagasta, Chile (10). In Región Lagunera, Mexico, maleolar edema was common, in particular among subjects with cutaneous signs of arsenic poisoning (11, 12). In Antofagasta, Chile, and in Región Lagunera, Mexico, study participants were characterized by severe malnutrition in addition to high-chronic arsenic exposure in drinking water. Finally, in a small study in Rome, Italy, the concentration of arsenic in endomyocardial tissue obtained through cardiac catheterization biopsy was 213 times higher in 13 subjects with idiopathic dilated cardiomyopathy compared with 14 controls with normal left ventricle (13). The source of arsenic exposure was not identified, and arsenic accumulation was interpreted to be a consequence of cardiomyopathy progression (13). We could not identify any reference to the association of arsenic exposure with heart failure in populations chronically exposed to high arsenic in drinking water from Taiwan (14), China (15), or Argentina (16), populations that have been extensively studied for other health outcomes.

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)0.007
metaresearch head score (Gemma)0.098
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 score0.041
Threshold uncertainty score0.138

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.098
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0050.005
Open science0.0040.005
Research integrity0.0270.027
Insufficient payload (model declined to judge)0.0410.024

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 head0.014
GPT teacher head0.288
Teacher spread0.274 · 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

Citations3
Published2006
Admission routes1
Has abstractyes

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