The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Value of a national administrative database to guide public decisions: From the système national d’information interrégimes de l’Assurance Maladie (SNIIRAM) to the système national des données de santé (SNDS) in France
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Cites
Benchimol, E. I., Smeeth, L., Guttmann, A., Harron, K., Moher, D., Petersen, I., Sørensen, H. T., von Elm, E., Langan, S. M., & RECORD Working Committee (2015) · PLOS Medicine · doi:10.1371/journal.pmed.1001885 · Cited by 5,749
A review of uses of health care utilization databases for epidemiologic research on therapeutics
Schneeweiss, S., & Avorn, J. (2005) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2004.10.012 · Cited by 1,277
When the entire population is the sample: strengths and limitations in register-based epidemiology
Thygesen, L. C., & Ersbøll, A. K. (2014) · European Journal of Epidemiology · doi:10.1007/s10654-013-9873-0 · Cited by 570
Bannay, A., Chaignot, C., Blotière, P.-O., Basson, M., Weill, A., Ricordeau, P., & Alla, F. (2016) · Medical Care · doi:10.1097/mlr.0000000000000471 · Cited by 484
Self-citationHercberg, S., Castetbon, K., Czernichow, S., Malon, A., Mejean, C., Kesse, E., Touvier, M., & Galan, P. (2010) · BMC Public Health · doi:10.1186/1471-2458-10-242 · Cited by 475
Optum Labs: Building A Novel Node In The Learning Health Care System
Wallace, P. J., Shah, N. D., Dennen, T., Bleicher, P. A., & Crown, W. H. (2014) · Health Affairs · doi:10.1377/hlthaff.2014.0038 · Cited by 445
Or, Z., Gandré, C., Seppänen, A., Hernández‐Quevedo, C., Webb, E., Michel, M., & Chevreul, K. (2010) · PubMed · Cited by 412
Characterizing treatment pathways at scale using the OHDSI network
Hripcsak, G., Ryan, P. B., Duke, J. D., Shah, N. H., Park, R. W., Huser, V., Suchard, M. A., Schuemie, M. J., DeFalco, F. J., Perotte, A., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1510502113 · Cited by 326
The French CONSTANCES population-based cohort: design, inclusion and follow-up
CONSTANCES team, Zins, M., & Goldberg, M. (2015) · European Journal of Epidemiology · doi:10.1007/s10654-015-0096-4 · Cited by 291
The U.S. Food and Drug Administration's Mini‐Sentinel program: status and direction
Platt, R., Carnahan, R. M., Brown, J. S., Chrischilles, E., Curtis, L. H., Hennessy, S., Nelson, J. C., Racoosin, J. A., Robb, M., Schneeweiss, S., et al. (2012) · Pharmacoepidemiology and Drug Safety · doi:10.1002/pds.2343 · Cited by 287
Cited by
Big data in IBD: a look into the future
Olivera, P., Danese, S., Jay, N., Natoli, G., & Peyrin-Biroulet, L. (2019) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-019-0102-5 · Cited by 151
Infertility Treatment in France, 2008–2017: A Challenge of Growing Treatment Needs at Older Ages
Ben Messaoud, K., Bouyer, J., & de La Rochebrochard, E. (2020) · American Journal of Public Health · doi:10.2105/ajph.2020.305781 · Cited by 43
Childhood cancer risks estimates following CT scans: an update of the French CT cohort study
Foucault, A., Ancelet, S., Dreuil, S., Caër-Lorho, S., Ducou Le Pointe, H., Brisse, H., Chateil, J.-F., Lee, C., Leuraud, K., & Bernier, M.-O. (2022) · European Radiology · doi:10.1007/s00330-022-08602-z · Cited by 39
Belhassen, M., Dalon, F., Nolin, M., & Van Ganse, E. (2021) · Respiratory Research · doi:10.1186/s12931-021-01714-y · Cited by 38
Tournier, M., Bénard‐Laribière, A., Jollant, F., Hucteau, E., Diop, P., Jarne‐Munoz, A., Pariente, A., Oger, E., & Bezin, J. (2023) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.13582 · Cited by 35
Metadata
- Authors
- Tuppin, P., Rudant, J., Constantinou, P., Gastaldi-Ménager, C., Rachas, A., de Roquefeuil, L., Maura, G., Caillol, H., Tajahmady, A., Coste, J., Gissot, C., Weill, A., & Fagot-Campagna, A.
- Venue
- Revue d'Épidémiologie et de Santé Publique
- Publisher
- Elsevier BV
- Published
- 2017-10
- Volume
- 65
- Pages
- S149-S167
- ISSN
- 0398-7620 (ISSN-L)
- OpenAlex
- W2741789802
- Cited by
- 891
- References
- 38
- FWCI
- 72.22
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Value of a national administrative database to guide public decisions: From the système national d’information interrégimes de l’Assurance Maladie (SNIIRAM) to the système national des données de santé (SNDS) in France. https://app.cochat.ai/papers/10.1016/j.respe.2017.05.004
- The paper
- Tuppin, P., Rudant, J., Constantinou, P., Gastaldi-Ménager, C., Rachas, A., de Roquefeuil, L., Maura, G., Caillol, H., Tajahmady, A., Coste, J., Gissot, C., Weill, A., & Fagot-Campagna, A. (2017). Value of a national administrative database to guide public decisions: From the système national d’information interrégimes de l’Assurance Maladie (SNIIRAM) to the système national des données de santé (SNDS) in France. Revue d'Épidémiologie et de Santé Publique. https://doi.org/10.1016/j.respe.2017.05.004
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
