Artichoke leaf extract for treating hypercholesterolaemia
Dossier post-publication
Source : Retraction Watch, jointe par DOI. OpenAlex consigne la rétractation dans is_retracted, un booléen sur un espace d'états à au moins quatre valeurs ; il ne peut donc exprimer ni une expression de préoccupation, ni une correction, ni un rétablissement, et les rapporte comme false, ce qui se lit comme « rien à signaler ».
Notice bibliographique
Résumé
BACKGROUND: Hypercholesterolaemia is directly associated with an increased risk for coronary heart disease and other sequelae of atherosclerosis. Artichoke leaf extract (ALE) has been implicated in lowering cholesterol levels. Whether ALE is truly effective for this indication is still a matter of debate. This is an update of a review first published in 2002 and last updated in 2009. OBJECTIVES: To assess the efficacy and safety of ALE in the treatment of hypercholesterolaemia., SEARCH METHODS: We updated searches of the Cochrane Central Register of Controlled Trials (CENTRAL, The Cochrane Library) (2012, Issue 5); MEDLINE Ovid (1966 to May Week 2, 2012); EMBASE Ovid (1980 to 2012 Week 19); and CINAHL Ebsco (1982 to May 2012) on 17 May 2012. CISCOM was last searched until June 2001, and AMED until June 2008. We checked reference lists of articles, and contacted manufacturers of preparations containing artichoke extract, and experts on the subject. No language restrictions were applied. SELECTION CRITERIA: We included randomised controlled trials (RCTs) of ALE mono-preparations compared with placebo or reference medication for patients with hypercholesterolaemia. We excluded trials assessing ALE as one of several active components in a combination preparation or as a part of a combination treatment. DATA COLLECTION AND ANALYSIS: Data were extracted systematically and risk of bias was evaluated using the Cochrane 'Risk of bias' tool. Two authors independently performed the screening of studies, selection, data extraction and assessment of risk of bias. Disagreements in the evaluation of individual trials were resolved through discussion. MAIN RESULTS: We included three RCTs involving 262 participants. The trials were of adequate methodological quality but had some shortcomings. One trial was at low quality of risk, one at medium and one of unclear risk of bias. One trial is available as abstract only and includes a small sample. In the first trial the total cholesterol level in participants receiving ALE decreased by 4.2% from 7.16 (0.62) mmol/L to 6.86 (0.68) mmol/L after 12 weeks, and increased from 6.90 (0.49) mmol/L to 7.04 (0.61) mmol/L in patients receiving placebo, the total difference being statistically significant (P = 0.025). In the second trial ALE reduced total cholesterol levels by 18.5% from 7.74 mmol/L to 6.31 mmol/L after 42 ± 3 days of treatment, whereas placebo reduced cholesterol by 8.6% from 7.69 mmol/L to 7.03 mmol/L (P = 0.00001). The third trial, which is available as abstract only and provides limited data, stated that ALE significantly reduced blood cholesterol compared with placebo in a subgroup of patients with baseline total cholesterol levels of more than 230 mg/dL (P < 0.05). Trial reports indicate mild, transient and infrequent adverse events. AUTHORS' CONCLUSIONS: Data from three clinical trials assessing ALE for treating hypercholesterolaemia are available. Athough the trials are of adequate methodological quality they have some shortcomings and one is available as abstract only. There is an indication that ALE has potential in lowering cholesterol levels, but the evidence is, as yet, not convincing. The limited data on safety suggest only mild, transient and infrequent adverse events with the short term use of ALE.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,005 | 0,003 |
| Bibliométrie | 0,006 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,003 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».