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Enregistrement W4399185147 · doi:10.1111/1471-0528.17876

Implication of United States abortion policies on quantity and impact of abortion‐related research

2024· article· en· W4399185147 sur OpenAlexaff
Gabriel Levin, Yoav Brezinov, Kacey M. Hamilton, Raanan Meyer

Notice bibliographique

RevueBJOG An International Journal of Obstetrics & Gynaecology · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueReproductive Health and Contraception
Établissements canadiensMcGill UniversityJewish General Hospital
Organismes subventionnairesnon disponible
Mots-clésAbortionPolitical scienceMedicinePregnancyBiology

Résumé

récupéré en direct d'OpenAlex

Until June 2022, when the US Supreme Court overturned the 1973 Roe versus Wade ruling, abortions had been legal in every US state.1 However, abortion regulations differed between states, ranging from restrictive to protective, and have affected patients' access to abortion services, especially in vulnerable populations.2 Abortion regulations have further impacted physicians and medical institutes.3 Evaluative bibliometrics is the study of scientific literature and research performance. To date, little is known regarding the impact of states' regulations on scientific publications on abortions. We sought to perform a bibliometric analysis of US publications on abortions during the last five decades. This was a bibliometric analysis of US publications indexed in PubMed on the topic of abortions. We searched the PubMed platform using Medical Subject Headings fitted for abortions (Appendix S1) until December 2023. We then accessed Clarivate's Web of Science platform and retrieved all the publications identified in the search. We excluded all non-original and non-US articles (Appendix S1). We obtained bibliometric data for all articles from the iCite database, by the National Institutes of Health (NIH), based on the list of PMIDs obtained from PubMed. For the included articles, we assessed the following variables: citations per year (CPY), relative citation ratio (RCR), field citation ratio (FCR), NIH centile and funding status (Box 1). The journal impact factor was collected from Web of Science. We further calculated a combined metric score: CPY*RCR*journal impact factor. We performed descriptive statistical analysis to compare bibliometric data between ‘restrictive’ and ‘protective’ states, based on data from the Guttmacher Institute.4-7 We included publications for the years 1995–2023, as data were available for this period. States were categorised into two groups: ‘protective’ and ‘restrictive’. We excluded five states that were either categorised into both groups during the study period, or that were considered ‘middle ground’. A full description of group categorisation can be found in Appendix S1. We further evaluated bibliometrics by year and performed linear regression analysis to identify trends. As data collected were publicly available online, no institutional review board approval was requested. A total of 3920 articles were included; of those, 2524 (64.4%) originated in protective states and 1396 (35.6%) in restrictive states (Figure S1). During the study period there was a higher constant increase in the number of publications by protective states than in restrictive states (Kendall's 𝜏 = 0.766, p < 0.001 versus 𝜏 = 0.387, p = 0.003, Figure 1A), and a constant higher increase in numbers of citations per year (Kendall's 𝜏 = 0.128, p < 0.001 versus 𝜏 = 0.103, p < 0.001, Figure 1B). All citation metrics were higher among the protective states when compared with the restrictive states (Table 1, Figures S2–S4): mean CPY (2.55 ± 6.56 versus. 1.77 ± 4.00, p < 0.001), mean RCR (1.33 ± 2.94 versus 0.94 ± 1.65, p < 0.001), mean FCR (3.17 ± 1.37 versus 2.96 ± 1.72, p < 0.001), mean NIH centile (40.20 ± 29.28 versus 33.08 ± 28.48, p < 0.001), and median (interquartile range [IQR]) combined metric score (3.68 [IQR 0.57–19.63] versus 2.18 [IQR 0.22–12.87], p < 0.001). There was a higher proportion of funded studies in the protective states (931 [36.9%] versus 397 [28.4%], p < 0.001). We underline notable disparity in the quantity and scientific impact of US publications on abortions based on US states' abortion policies. Higher citation metrics in protective states reflect a significantly higher impact of articles published in these states on the scientific literature. They may also suggest that physicians and scientists could conduct research in a more supportive environment, either morally or financially. The higher funding proportions in protective states may support this hypothesis. The higher increase in the trend of absolute number of publications in protective states suggests that abortion policies have a long-term impact, but also provide evidence that policy modifications, either restrictive or protective, can still shift the pendulum. Accordingly, we can expect significant changes in the scientific literature in the near future following the recent overturn of Roe versus Wade by the Supreme Court in June 2022. Limitations of this study include the grouping of different states into two categories, excluding states that were considered ‘middle ground’, and the use of seven time points only for grouping of states, limiting the evaluation of temporal changes. In addition, we could not account for the possible impact of research on state policies, or for the effect of multistate research on the results. Scientific research has led to significant discoveries and improved health care and public health and is imperative to the well-being of patients. The observed disparities in our study may be accentuated by the recent Supreme Court ruling and subsequent new anti-abortion legislations, and measures should be taken to minimise the prospective gaps. GL and RM conceptualized and designed the work, acquired and analyzed the data, drafted the work, reviewed it and approved the final version. YB and KH acquired and analyzed the data, reviewed the work, and approved the final version. None. No funding was received for this research. RM is an Intuitive Surgical consultant. All other authors: none declared. As only publicly available data were used for the study, Institutional Review Board approval was not requested. The data that support the findings of this study are available from the corresponding author upon reasonable request. Appendix S1. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

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)0,001
score de la tête « metaresearch » (Gemma)0,003
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,182
Score d'incertitude au seuil0,347

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,001
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 Opus0,063
Tête enseignante GPT0,459
Écart entre enseignants0,396 · 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.

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

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
Publié2024
Routes d'admission1
Résumé présentoui

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