The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Out-of-hospital cardiac arrest during the COVID-19 pandemic in Paris, France: a population-based, observational study
Open accessAbstract
BACKGROUND: Although mortality due to COVID-19 is, for the most part, robustly tracked, its indirect effect at the population level through lockdown, lifestyle changes, and reorganisation of health-care systems has not been evaluated. We aimed to assess the incidence and outcomes of out-of-hospital cardiac arrest (OHCA) in an urban region during the pandemic, compared with non-pandemic periods. METHODS: We did a population-based, observational study using data for non-traumatic OHCA (N=30 768), systematically collected since May 15, 2011, in Paris and its suburbs, France, using the Paris Fire Brigade database, together with in-hospital data. We evaluated OHCA incidence and outcomes over a 6-week period during the pandemic in adult inhabitants of the study area. FINDINGS: Comparing the 521 OHCAs of the pandemic period (March 16 to April 26, 2020) to the mean of the 3052 total of the same weeks in the non-pandemic period (weeks 12-17, 2012-19), the maximum weekly OHCA incidence increased from 13·42 (95% CI 12·77-14·07) to 26·64 (25·72-27·53) per million inhabitants (p<0·0001), before returning to normal in the final weeks of the pandemic period. Although patient demographics did not change substantially during the pandemic compared with the non-pandemic period (mean age 69·7 years [SD 17] vs 68·5 [18], 334 males [64·4%] vs 1826 [59·9%]), there was a higher rate of OHCA at home (460 [90·2%] vs 2336 [76·8%]; p<0·0001), less bystander cardiopulmonary resuscitation (239 [47·8%] vs 1165 [63·9%]; p<0·0001) and shockable rhythm (46 [9·2%] vs 472 [19·1%]; p<0·0001), and longer delays to intervention (median 10·4 min [IQR 8·4-13·8] vs 9·4 min [7·9-12·6]; p<0·0001). The proportion of patients who had an OHCA and were admitted alive decreased from 22·8% to 12·8% (p<0·0001) in the pandemic period. After adjustment for potential confounders, the pandemic period remained significantly associated with lower survival rate at hospital admission (odds ratio 0·36, 95% CI 0·24-0·52; p<0·0001). COVID-19 infection, confirmed or suspected, accounted for approximately a third of the increase in OHCA incidence during the pandemic. INTERPRETATION: A transient two-times increase in OHCA incidence, coupled with a reduction in survival, was observed during the specified time period of the pandemic when compared with the equivalent time period in previous years with no pandemic. Although this result might be partly related to COVID-19 infections, indirect effects associated with lockdown and adjustment of health-care services to the pandemic are probable. Therefore, these factors should be taken into account when considering mortality data and public health strategies. FUNDING: The French National Institute of Health and Medical Research (INSERM).
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
1 retracted
Mehra, M. R., Desai, S. S., Ruschitzka, F., & Patel, A. N. (2020) · The Lancet · doi:10.1016/s0140-6736(20)31180-6 · Cited by 1,200
RetractedZhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., Xiang, J., Wang, Y., Song, B., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30566-3 · Cited by 27,263
Elm, E. V., Altman, D. G., Egger, M., Pocock, S. J., Gøtzsche, P. C., & Vandenbroucke, J. P. (2007) · BMJ · doi:10.1136/bmj.39335.541782.ad · Cited by 10,766
Incidence of thrombotic complications in critically ill ICU patients with COVID-19
Klok, F. A., Kruip, M. J. H. A., van der Meer, N. J. M., Arbous, M. S., Gommers, D. A. M. P. J., Kant, K. M., Kaptein, F. H. J., van Paassen, J., Stals, M. A. M., Huisman, M. V., et al. (2020) · Thrombosis Research · doi:10.1016/j.thromres.2020.04.013 · Cited by 5,028
Mental health and the COVID-19 pandemic
Pfefferbaum, B., & North, C. S. (2020) · New England Journal of Medicine · doi:10.1056/nejmp2008017 · Cited by 4,378
Jacobs, I., Nadkarni, V., the ILCOR Task Force on Cardiac Arrest and Cardiopulmonary Resuscitation Outcomes, PARTICIPANTS, C., Bahr, J., Berg, R. A., Billi, J. E., Bossaert, L., Cassan, P., Coovadia, A., et al. (2004) · Circulation · doi:10.1161/01.cir.0000147236.85306.15 · Cited by 2,560
The untold toll—the pandemic's effects on patients without covid-19
Rosenbaum, L. (2020) · New England Journal of Medicine · doi:10.1056/nejmms2009984 · Cited by 698
Out-of-Hospital Cardiac Arrest during the Covid-19 Outbreak in Italy
Baldi, E., Sechi, G. M., Mare, C., Canevari, F., Brancaglione, A., Primi, R., Klersy, C., Palo, A., Contri, E., Ronchi, V., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmc2010418 · Cited by 637
The Variety of Cardiovascular Presentations of COVID-19
Fried, J. A., Ramasubbu, K., Bhatt, R., Topkara, V. K., Clerkin, K. J., Horn, E., Rabbani, L., Brodie, D., Jain, S. S., Kirtane, A. J., et al. (2020) · Circulation · doi:10.1161/circulationaha.120.047164 · Cited by 548
SARS-CoV-2 is an appropriate name for the new coronavirus
Wu, Y., Ho, W., Huang, Y., Jin, D.-Y., Li, S., Liu, S.-L., Liu, X., Qiu, J., Sang, Y., Wang, Q., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30557-2 · Cited by 366
Cited by
Heart Disease and Stroke Statistics—2023 Update: A Report From the American Heart Association
Tsao, C. W., Aday, A. W., Almarzooq, Z. I., Anderson, C. A. M., Arora, P., Avery, C. L., Baker-Smith, C. M., Beaton, A. Z., Boehme, A. K., Buxton, A. E., et al. (2023) · Circulation · doi:10.1161/cir.0000000000001123 · Cited by 8,300
Heart Disease and Stroke Statistics—2022 Update: A Report From the American Heart Association
Tsao, C. W., Aday, A. W., Almarzooq, Z. I., Alonso, A., Beaton, A. Z., Bittencourt, M. S., Boehme, A. K., Buxton, A. E., Carson, A. P., Commodore-Mensah, Y., et al. (2022) · Circulation · doi:10.1161/cir.0000000000001052 · Cited by 5,987
European Resuscitation Council Guidelines 2021: Executive summary
Perkins, G. D., Gräsner, J.-T., Semeraro, F., Olasveengen, T., Soar, J., Lott, C., Van de Voorde, P., Madar, J., Zideman, D., Mentzelopoulos, S., et al. (2021) · Resuscitation · doi:10.1016/j.resuscitation.2021.02.003 · Cited by 649
The COVID-19 Pandemic and the Future of Telemedicine
OECD (2023) · OECD Health Policy Studies · doi:10.1787/ac8b0a27-en · Cited by 437
European Resuscitation Council COVID-19 guidelines executive summary
Nolan, J. P., Monsieurs, K. G., Bossaert, L., Böttiger, B. W., Greif, R., Lott, C., Madar, J., Olasveengen, T. M., Roehr, C. C., Semeraro, F., et al. (2020) · Resuscitation · doi:10.1016/j.resuscitation.2020.06.001 · Cited by 347
Metadata
- Authors
- Marijon, E., Karam, N., Jost, D., Perrot, D., Frattini, B., Derkenne, C., Sharifzadehgan, A., Waldmann, V., Beganton, F., Narayanan, K., Lafont, A., Bougouin, W., & Jouven, X.
- Venue
- The Lancet Public Health
- Publisher
- Elsevier BV
- Published
- 2020-08
- Volume
- 5
- Issue
- 8
- Pages
- e437-e443
- ISSN
- 2468-2667 (ISSN-L)
- OpenAlex
- W3028928563
- Cited by
- 614
- References
- 20
- FWCI
- 126.82
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Out-of-hospital cardiac arrest during the COVID-19 pandemic in Paris, France: a population-based, observational study. https://app.cochat.ai/papers/10.1016/s2468-2667(20)30117-1
- The paper
- Marijon, E., Karam, N., Jost, D., Perrot, D., Frattini, B., Derkenne, C., Sharifzadehgan, A., Waldmann, V., Beganton, F., Narayanan, K., Lafont, A., Bougouin, W., & Jouven, X. (2020). Out-of-hospital cardiac arrest during the COVID-19 pandemic in Paris, France: a population-based, observational study. The Lancet Public Health. https://doi.org/10.1016/s2468-2667(20)30117-1
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.