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Enregistrement W4406584803 · doi:10.1016/j.envint.2025.109273

Corrigendum to “Effects of Radiofrequency Electromagnetic Field (RF-EMF) exposure on pregnancy and birth outcomes: A systematic review of experimental studies on non-human mammals” [Environ. Inter. 180 (2023) 108178]

2025· review· en· W4406584803 sur OpenAlexaff
Eugenia Cordelli, Lucia Ardoino, Barbara Benassi, Claudia Consales, Patrizia Eleuteri, Carmela Marino, Maurizio Sciortino, Martin H. Brinkworth, Guangdi Chen, James P. McNamee, Andrew Wood, Lea Beláčková, Jos Verbeek, Francesca Pacchierotti

Notice bibliographique

RevueEnvironment International · 2025
Typereview
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueElectromagnetic Fields and Biological Effects
Établissements canadiensHealth Canada
Organismes subventionnairesnon disponible
Mots-clésMedicineHuman studiesPregnancyEnvironmental scienceObstetricsPhysiologyBiologyInternal medicine

Résumé

récupéré en direct d'OpenAlex

The authors of the article with the title “Effects of Radiofrequency Electromagnetic Field (RF-EMF) exposure on pregnancy and birth outcomes: A systematic review of experimental studies on non-human mammals” regret to report a few inconsistencies detected in the article after its publication, due to errors inadvertently occurred in the extraction of the original data. We stress that none of these issues has produced any significant change in the quantitative outputs of the effects estimates or in the interpretation and conclusions of the systematic review. The errors concerned 2 of the included papers, namely Sharma et al. 2017 and Sangun et al. 2015. In the Sharma et al. 2017 paper, each of the exposed group of animals was matched to its own untreated comparator group, while we erroneously matched the same comparator group to both the exposed groups. In relation to the Sangun et al. 2015 paper we inverted the results of the comparator and the exposed groups. The errors in the extraction of the Sangun et al. 2015 and Sharma et al. 2017 data led to miscalculations in the meta-analyses of “fetal weight” results. The errors in the extraction of Sharma et al. 2017 data led also to miscalculations in the meta-analyses of “litter size” and “fetal length” results. The correction of these errors resulted in the following changes: Litter size Two effect size measures from the Sharma et al. 2017 paper were included instead of one. The corrected forest plot and its recalculated pooled effect size are shown in the revised Figure 4. The same correction led to changes in the subgrouping forest plots and in the funnel plot. The corrected plots are shown in the Supplementary Files 1 and 2 to this corrigendum.[Figure presented] Fetal weight Two effect size measures from the Sharma et al. 2017 paper were included instead of one and the effect size for the Sangun et al. 2015 paper was recalculated after swapping the comparator and exposed results. The corrected forest plot and its recalculated pooled effect size are shown in the revised Figure 6. The same corrections led to changes in the subgrouping forest plots and in the funnel plot, which are now shown in the Supplementary Files 1 and 2 to this corrigendum. A further error was noted for this endpoint regarding the selection of studies for the subgrouping by species that erroneously included some of the “high concern” studies. Also this error has been corrected in the Supplementary File 1 to this corrigendum.[Figure presented] Fetal length Two effect size measures from the Sharma et al. 2017 paper were included instead of one. The corrected forest plot and its recalculated pooled effect size are shown in the revised Figure 7. The same correction led to changes in the subgrouping forest plots and in the funnel plot, which are now shown in the Supplementary Files 1 and 2 to this corrigendum.[Figure presented] As a consequence of the corrections, some of the values reported in the summary tables 4 and 5 changed. The corrected values are now reported in the revised versions of these tables (Revised Table 4 and 5). The corrected values are now also reported in a revised version of the original Supplementary File 7 showing the extracted information from all the studies, which is now included as Supplementary File 3 to this corrigendum. The corrections generated some inconsistencies between the text and the corrected figures and tables. Wherever these results are reported in the text of the paper please note that: 1. For litter size, the “low and some concern” pooled MD of 0.05, 95 %CI -0.21 to 0.3 (24 studies) has been corrected into 0.03, 95 %CI -0.16 to 0.22 (25 studies).2. For fetal weight, the “low and some concern” pooled SMD of 0.31, 95 %CI 0.15 to 0.48 (48 studies) has been corrected into 0.35, 95 %CI 0.17 to 0.53 (49 studies) and the “high concern” pooled SMD of 0.52, 95 %CI 0.06 to 0.98 (14 studies) has been corrected into 0.61, 95 %CI 0.16 to 1.06 (14 studies). In addition, the corrected pooled SMD of the 3 SAR subgroups are 0.21, 95 %CI -0.09 to 0.51 (18 studies), -0.57, 95 %CI -1.38 to 0.24 (5 studies) and 0.51, 95 %CI 0.31 to 0.72 (26 studies), for low, medium and high SAR, respectively.3. For fetal length, the “low and some concern” pooled SMD of 0.45, 95 %CI 0.07 to 0.83 (13 studies) has been corrected into 0.45, 95 %CI 0.08 to 0.83 (14 studies). In addition, the corrected pooled SMD of the 3 SAR subgroups are -0.58, 95 %CI -2.40 to 1.24 (3 studies), 0.08, 95 %CI -0.23 to 0.39 (6 studies) and 0.92, 95 %CI 0.47 to 1.37 (5 studies), for low, medium and high SAR, respectively.As can be seen, the corrections led to small changes that did not impact on the GRADE assessment profile. The authors would like to apologise for any inconvenience caused.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Revue systématique · Signal consensuel: Revue systématique
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,033
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,014
Tête enseignante GPT0,307
Écart entre enseignants0,293 · 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 tête enseignante, pas un consensus.

Devis d'étudeRevue systématique
Domainenon disponible
GenreSynthèse

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

En bref

Citations1
Publié2025
Routes d'admission1
Résumé présentoui

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