Additional file 1 of Associations of thiazide use with skin cancers: a systematic review and meta-analysis
Notice bibliographique
Résumé
Additional file 1: Supplementary Material. Figure S1. Forest Plot for the Subgroup Analysis of the Association between Cumulative Doses of Hydrochlorothiazide and Basal Cell Carcinoma in Case-Control Studies. Figure S2. Forest Plot for the Subgroup Analysis of the Association between Cumulative Doses of Hydrochlorothiazide and Basal Cell Carcinoma in Cohort Studies. Figure S3. Forest Plot for the Subgroup Analysis of the Association between Cumulative Doses of Hydrochlorothiazide and Squamous Cell Carcinoma in Case-Control Studies. Figure S4. Forest Plot for the Subgroup Analysis of the Association between Cumulative Doses of Hydrochlorothiazide and Squamous Cell Carcinoma in Cohort Studies. Figure S5. Forest Plot for the Subgroup Analysis of the Association between Cumulative Doses of Hydrochlorothiazide and Merkel Cell Carcinoma in Case-Control Studies. Figure S6. Forest Plot for the Subgroup Analysis of the Association between Cumulative Doses of Hydrochlorothiazide and Unspecified Non-melanoma Skin Cancer in Cohort Studies. Figure S7. Forest Plot for the Subgroup Analysis According to Geographic Regions of Nonmelanoma Skin Cancer in Case-Control Studies of Hydrochlorothiazide (A) Non-Asian countries (B) Asian countries. Figure S8. Forest Plot for the Subgroup Analysis According to Geographic Regions of Nonmelanoma Skin Cancer in Cohort Studies of Hydrochlorothiazide (A) Non-Asian countries (B) Asian countries. Figure S9. Forest Plot for the Subgroup Analysis of the Association between Cumulative Doses of Hydrochlorothiazide and Melanoma in Case-Control studies. Figure S10. Forest Plot for the Subgroup Analysis of the Association between Cumulative Doses of Hydrochlorothiazide and Melanoma in Cohort studies. Figure S11. Forest Plot for the Subgroup Analysis According to Geographic Regions of Melanoma in Case-Control Studies of Hydrochlorothiazide. Figure S12. Forest Plot for the Subgroup Analysis According to Geographic Regions of Melanoma in Cohort Studies of Hydrochlorothiazide. Figure S13. Forest Plot for the Subgroup Analysis According to Melanoma Subtypes in Case-Control Studies of Hydrochlorothiazide. Figure S14. Forest Plot for the Subgroup Analysis of the Association between Cumulative Doses of Bendroflumethiazide and Basal Cell Carcinoma in Case-Control Studies. Figure S15. Forest Plot for the Subgroup Analysis of the Association between Cumulative Doses of Bendroflumethiazide and Squamous Cell Carcinoma in Case-Control Studies. Figure S16. Forest Plot for the Subgroup Analysis of the Association between Cumulative Doses of Bendroflumethiazide and Merkel Cell Carcinoma in Case-Control Studies. Figure S17. Forest Plot for the Subgroup Analysis of the Association between Cumulative Doses of Indapamide and Basal Cell Carcinoma in Case-Control Studies. Figure S18. Forest Plot for the Subgroup Analysis of the Association between Cumulative Doses of Indapamide and Squamous Cell Carcinoma in Case-Control Studies. Figure S19. Forest Plot for the Subgroup Analysis of the Association between Cumulative Doses of Indapamide and Melanoma in Case-Control Studies. Table S1. Search Strategy. Table S2. Studies with Overlapping Populations. Table S3. Exposures for Thiazide Use in the Included Studies. Table S4. Other Characteristics of Included Studies. Table S5. The Relationship Between Cumulative Duration of Individual Thiazide Uses and Skin Cancer Risk. Table S6. Risk-of-bias Assessment of Included Case-Control Studies Based on Newcastle Ottawa Quality Assessment Scale. Table S7. Risk-of-bias Assessment of Included Cohort Studies Based on Newcastle Ottawa Quality Assessment Scale. Table S8. Comparisons of the Results between the Main and Sensitivity Analyses. Table S9. Sensitivity Analysis By Including Only Low Risk-of-bias Case-Control Studies.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,987 | 0,000 |
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 tête enseignante, 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 ».