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Enregistrement W1987891284 · doi:10.1002/ijc.23768

Hormone‐related supplements and breast cancer risk: Need for improved measurement of supplement use

2008· letter· en· W1987891284 sur OpenAlexaff
Beatrice A. Boucher, Lilian U. Thompson, Nancy Kreiger, Michelle Cotterchio

Notice bibliographique

RevueInternational Journal of Cancer · 2008
Typeletter
Langueen
DomaineMedicine
ThématiquePhytoestrogen effects and research
Établissements canadiensUniversity of TorontoCancer Care Ontario
Organismes subventionnairesnon disponible
Mots-clésMedicineBreast cancerCancerOncologyHormoneInternal medicinePhysiologyGynecology

Résumé

récupéré en direct d'OpenAlex

Alternative supplements such as herbal and other non-vitamin, non-mineral compounds may contain substantial amounts of bioactive ingredients, but despite widespread use, little is known about long-term risks or benefits.1 Rebbeck et al. are to be congratulated for presenting data that address this gap, examining hormone-related supplements and breast cancer risk, for the first time.2 We suggest, however, that aspects of their exposure measurement and results need to be reconsidered, to advance future risk assessment. We wish to primarily comment on three measurement limitations: the exclusion of supplements which are frequently used; the exclusion of supplements containing considerable amounts of hormone-related components; and the inclusion of items and decisions that encouraged misclassification. Since estrogen-like components such as phytoestrogens may be associated with reduced breast cancer risk,3, 4 amending Rebbeck et al.'s underestimates of hormone-related supplement intake would reduce exposure misclassification, and observed associations with cancer risk would be more accurate. First, despite difficulties comparing supplement use due to varying inclusions, ever use should equal or surpass current use when items and populations are similar. However, among similarly aged Caucasian and African American women, Rebbeck et al.'s ever use estimate is lower than those reporting current use.5-7 This may be partly explained by Rebbeck et al.'s short, specific list of hormone-related items, since estimates of use depend on which and how many supplements are queried. However, their estimates are also low compared with those reporting supplement use for menopausal symptoms,8, 9 suggesting Rebbeck et al. excluded certain hormone-related items. Recent work may shed light on these exclusions. We reported that 31% of women (primarily Caucasian) ever used hormone-related supplements,9 considerably higher than that reported by Rebbeck et al. for European American controls (17%). Our estimates were somewhat similar to Rebbeck et al.'s for five supplements (isoflavone, red clover, black cohosh, dong quai, ginseng), but a substantial proportion of women also reported using evening primrose oil.8, 9 This item and possibly other hormone-related supplements10 were omitted from Rebbeck et al.'s questionnaire. Second, supplements contain a variety of bioactive components and their contents are largely unknown,1 although some have been identified. In terms of hormone-related items, we and others have reported the phytoestrogen content of alternative supplements,11, 12 a class of substances mentioned by Rebbeck et al. Although they included two important phytoestrogen sources – soy and red clover (from which isoflavones, genistein, and daidzein may be derived) – other major contributors such as licorice and kudzu are absent.11, 12 Thus, omission of two informative parameters of intake (items either consumed frequently, or containing substantial amounts of hormone-related components) limits the completeness of Rebbeck et al.'s assessment, but also suggests items to be considered in future studies. A third and final limitation is that of misclassification due to questionnaire items and analytic decisions that encouraged inaccurate reports. Survey respondents may be confused about how herbal or alternative supplements differ from traditional vitamin or mineral supplements, and the contents of what is consumed.13, 14 This was illustrated in Rebbeck et al.'s description of women reporting Remifemin (whose main ingredient is black cohosh10), but not black cohosh. Given this confusion, it is important to clearly define and query supplement use, particularly when researchers and respondents perceive these items differently.6, 14 Although it is not clear how Rebbeck et al. specifically asked about supplement use, it may have been misleading to include two ‘natural’ hormone replacement medications, Biestrogen and Triestrogen, as hormone-related supplements. Natural hormone replacement medications are only available by prescription,15 making them legislatively and perceptually different from dietary supplements.16 This may have contributed to their extremely low reported use, when they have otherwise been described as popular hormone replacement therapies.17 Furthermore, it is not clear how their inclusion as supplements affected the reported ‘use of exogenous hormones and use of other medications,’ or identification as a confounder (as ‘ever use of hormone replacement therapy’). A similar issue concerns the inclusion of steroid and yam creams, since these topical items are not intended for ingestion, a hallmark characteristic of ‘supplements’.1, 16 Also problematic is the listing of Promensil and red clover as two independent items, when Promensil is a major brand name supplement used in red clover clinical trials.10 Rebbeck et al. also unwittingly restricted data collection by limiting responses to a maximum of five supplements. Although few women report current use of five or more supplements,18 ever use introduces an expansive repertoire of items that could easily surpass five, especially given the overlap of red clover items just mentioned with derivative compounds that were listed separately: isoflavones, genistein and daidzein. Other overlapping items, and brand names containing listed supplements as ingredients compound this problem (black cohosh and Remifemin; soy medications, isoflavones, genistein and daidzein; Rejuvex containing dong quai; Estrovin containing soy and black cohosh). Thus, of 17 supplements listed on their questionnaire, 11 overlap with at least one other item, and four are not supplements in the traditional sense, being either unavailable except by prescription or not intended for ingestion—a context likely to promote uncertainty and inaccurate response. Future work must be attentive to these and other pitfalls of intake measurement, and the inclusion of clearly identified items to encourage accurate response and subsequent validation of measures will be of great importance in this new frontier of alternative supplement research.1 Although mainly concerned with the measurement issues just discussed, we also wish to draw attention to possible errors in Rebbeck et al.'s results. Although 280 controls and 123 cases are reported as supplement users in Table III, these numbers are surpassed or misreported in Table II for age at menarche and parity among users. Since it is uncertain which numbers are correct or how errors affect results, we encourage the authors to reexamine their data and report corrected findings. We also wish to comment on certain findings, although these may shift after data are corrected. Menopausal status was not found in Table II to be a risk factor for breast cancer, although reported as such in the text. Instead, oral contraceptives, as well as family history and parity were associated with risk among non-users of supplements. In contrast, most reproductive factors were not associated with risk among supplement users. This intriguing finding may warrant further discussion if it persists after data correction. In conclusion, Rebbeck et al. have presented interesting work that contributes needed data on the association between hormone-related supplements and cancer risk. Given the potential for widespread use as alternatives to conventional hormone therapy,19 and for contributing large doses of bioactive substances,11 hormone-related supplements merit additional research focus. Alongside this is the need to improve methods for collecting accurate intake data and to identify factors related to misreporting, and we offer our comments in the spirit of contributing to this need. Yours sincerely, Beatrice A. Boucher, Lilian U. Thompson, Nancy Kreiger, Michelle Cotterchio.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,091
score de la tête « metaresearch » (Gemma)0,217
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,091
Score d'incertitude au seuil0,479

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0910,217
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0050,002
Bibliométrie0,0050,007
Études des sciences et des technologies0,0010,002
Communication savante0,0060,014
Science ouverte0,0080,004
Intégrité de la recherche0,0060,008
Charge utile insuffisante (le modèle a refusé de juger)0,0050,002

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,031
Tête enseignante GPT0,345
Écart entre enseignants0,314 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations4
Publié2008
Routes d'admission1
Résumé présentoui

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