The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Epidemiology and burden of multidrug-resistant bacterial infection in a developing country
Open accessAbstract
Little is known about the excess mortality caused by multidrug-resistant (MDR) bacterial infection in low- and middle-income countries (LMICs). We retrospectively obtained microbiology laboratory and hospital databases of nine public hospitals in northeast Thailand from 2004 to 2010, and linked these with the national death registry to obtain the 30-day mortality outcome. The 30-day mortality in those with MDR community-acquired bacteraemia, healthcare-associated bacteraemia, and hospital-acquired bacteraemia were 35% (549/1555), 49% (247/500), and 53% (640/1198), respectively. We estimate that 19,122 of 45,209 (43%) deaths in patients with hospital-acquired infection due to MDR bacteria in Thailand in 2010 represented excess mortality caused by MDR. We demonstrate that national statistics on the epidemiology and burden of MDR in LMICs could be improved by integrating information from readily available databases. The prevalence and mortality attributable to MDR in Thailand are high. This is likely to reflect the situation in other LMICs.
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
Magiorakos, A.-P., Srinivasan, A., Carey, R. B., Carmeli, Y., Falagas, M. E., Giske, C. G., Harbarth, S., Hindler, J. F., Kahlmeter, G., Olsson-Liljequist, B., et al. (2012) · Clinical Microbiology and Infection · doi:10.1111/j.1469-0691.2011.03570.x · Cited by 14,449
Antibiotic resistance threats in the United States, 2019
(U.S.), C. F. D. C. A. P. (2019) · doi:10.15620/cdc:82532 · Cited by 5,782
Antibiotic resistance-the need for global solutions
Laxminarayan, R., Duse, A., Wattal, C., Zaidi, A. K. M., Wertheim, H. F. L., Sumpradit, N., Vlieghe, E., Hara, G. L., Gould, I. M., Goossens, H., et al. (2013) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(13)70318-9 · Cited by 4,439
Purposeful selection of variables in logistic regression
Bursac, Z., Gauss, C. H., Williams, D. K., & Hosmer, D. W. (2008) · Source Code for Biology and Medicine · doi:10.1186/1751-0473-3-17 · Cited by 4,035
Hospital-Acquired Infections Due to Gram-Negative Bacteria
Peleg, A. Y., & Hooper, D. C. (2010) · New England Journal of Medicine · doi:10.1056/nejmra0904124 · Cited by 1,495
Munoz-Price, L. S., & Weinstein, R. A. (2008) · New England Journal of Medicine · doi:10.1056/nejmra070741 · Cited by 772
Roberts, R. R., Hota, B., Ahmad, I., Scott II, R. D., Foster, S. D., Abbasi, F., Schabowski, S., Kampe, L. M., Ciavarella, G. G., Supino, M., et al. (2009) · Clinical Infectious Diseases · doi:10.1086/605630 · Cited by 705
A review of adjusted estimators of attributable risk
Benichou, J. (2001) · Statistical Methods in Medical Research · doi:10.1177/096228020101000303 · Cited by 440
CONCEPTUAL PROBLEMS IN THE DEFINITION AND INTERPRETATION OF ATTRIBUTABLE FRACTIONS
GREENLAND, S., & ROBINS, J. M. (1988) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a115073 · Cited by 414
Treatment of Acinetobacter Infections
Fishbain, J., & Peleg, A. Y. (2010) · Clinical Infectious Diseases · doi:10.1086/653120 · Cited by 358
Cited by
Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis
Murray, C. J. L., Ikuta, K. S., Sharara, F., Swetschinski, L., Robles Aguilar, G., Gray, A., Han, C., Bisignano, C., Rao, P., Wool, E., et al. (2022) · The Lancet · doi:10.1016/s0140-6736(21)02724-0 · Cited by 16,316
Self-citationGlobal increase and geographic convergence in antibiotic consumption between 2000 and 2015
Klein, E. Y., Van Boeckel, T. P., Martinez, E. M., Pant, S., Gandra, S., Levin, S. A., Goossens, H., & Laxminarayan, R. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1717295115 · Cited by 3,232
Horizontal transfer of antibiotic resistance genes in the human gut microbiome
McInnes, R. S., McCallum, G. E., Lamberte, L. E., & van Schaik, W. (2020) · Current Opinion in Microbiology · doi:10.1016/j.mib.2020.02.002 · Cited by 401
Loayza, F., Graham, J. P., & Trueba, G. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17093061 · Cited by 66
Impact of low blood culture usage on rates of antimicrobial resistance
Lim, C., Hantrakun, V., Teerawattanasook, N., Srisamang, P., Teparrukkul, P., Sumpradit, N., Turner, P., Day, N. P., Cooper, B. S., Peacock, S. J., et al. (2021) · Journal of Infection · doi:10.1016/j.jinf.2020.10.040 · Cited by 36
Self-citation
Metadata
- Authors
- Lim, C., Takahashi, E., Hongsuwan, M., Wuthiekanun, V., Thamlikitkul, V., Hinjoy, S., Day, N. P., Peacock, S. J., & Limmathurotsakul, D.
- Venue
- eLife
- Publisher
- eLife Sciences Publications, Ltd
- Published
- 2016-09-06
- Volume
- 5
- ISSN
- 2050-084X (ISSN-L)
- OpenAlex
- W2513624963
- Cited by
- 317
- References
- 23
- FWCI
- 14.93
- 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: Epidemiology and burden of multidrug-resistant bacterial infection in a developing country. https://app.cochat.ai/papers/10.7554/elife.18082
- The paper
- Lim, C., Takahashi, E., Hongsuwan, M., Wuthiekanun, V., Thamlikitkul, V., Hinjoy, S., Day, N. P., Peacock, S. J., & Limmathurotsakul, D. (2016). Epidemiology and burden of multidrug-resistant bacterial infection in a developing country. eLife. https://doi.org/10.7554/elife.18082
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.