The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Systematic Review and Meta-analysis: When One Study Is Just not Enough
Abstract
We live in the information age, and the practice of medicine is becoming increasingly specialized. In the biomedical literature, the number of published studies has dramatically increased: There are now more than 15 million citations in MEDLINE, with 10,000 to 20,000 new citations added each week (1). Multiple relevant studies usually guide most clinical decisions. These studies often vary in their design; methodologic quality; population studied; and the intervention, test, or condition considered. Because even highly cited trials may be challenged or refuted over time (2), clinical decision-making requires ongoing reconciliation of studies that provide different answers to the same question. Both clinicians and researchers can also benefit from a summary of where uncertainty remains. Because it is often impractical for readers to track down and review all of the primary studies (3), review articles are an important source of summarized evidence on a particular topic (4). Review articles have traditionally taken the form of a narrative review, whereby a content expert writes about a particular field, condition, or treatment (5–7). Narrative reviews have many benefits, including a broad overview of relevant information tempered by years of practical knowledge from an experienced author. Indeed, this article itself is in a narrative format, from authors who have published a number of meta-analyses in previous years. In some circumstances, a reader wants to become very knowledgeable about specific details of a topic and wants some assurance that the information presented is both comprehensive and unbiased. A narrative review typically uses an implicit process to compile evidence to support the statements being made. The reader often cannot tell which recommendations were based on the author's clinical experience, the breadth to which available literature was identified and compiled, and the reasons that some studies were given more emphasis than others. It …
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Citations
Cites
Meta-analysis in clinical trials
DerSimonian, R., & Laird, N. (1986) · Controlled Clinical Trials · doi:10.1016/0197-2456(86)90046-2 · Cited by 39,552
Quantifying heterogeneity in a meta‐analysis
Higgins, J. P. T., & Thompson, S. G. (2002) · Statistics in Medicine · doi:10.1002/sim.1186 · Cited by 36,763
Meta-analysis of Observational Studies in Epidemiology<SUBTITLE>A Proposal for Reporting</SUBTITLE>
Stroup, D. F. (2000) · JAMA · doi:10.1001/jama.283.15.2008 · Cited by 20,623
Assessing the quality of reports of randomized clinical trials: Is blinding necessary?
Jadad, A. R., Moore, R. A., Carroll, D., Jenkinson, C., Reynolds, D. J. M., Gavaghan, D. J., & McQuay, H. J. (1996) · Controlled Clinical Trials · doi:10.1016/0197-2456(95)00134-4 · Cited by 17,582
Schulz (1995) · doi:10.1001/jama.1995.03520290060030 · Cited by 5,634
Moher, D., Cook, D. J., Eastwood, S., Olkin, I., Rennie, D., & Stroup, D. F. (1999) · The Lancet · doi:10.1016/s0140-6736(99)04149-5 · Cited by 4,826
Moher, D., Pham, B., Jones, A., Cook, D. J., Jadad, A. R., Moher, M., Tugwell, P., & Klassen, T. P. (1998) · The Lancet · doi:10.1016/s0140-6736(98)01085-x · Cited by 3,560
Assessing the quality of controlled clinical trials
Jüni, P., Altman, D. G., & Egger, M. (2001) · BMJ · doi:10.1136/bmj.323.7303.42 · Cited by 3,309 · cited 2×
“differences in the results among the primary studies (90).”
ResultPublication bias in clinical research
Easterbrook, P. J., Gopalan, R., Berlin, J. A., & Matthews, D. R. (1991) · The Lancet · doi:10.1016/0140-6736(91)90201-y · Cited by 3,109
Investigating and dealing with publication and other biases in meta-analysis
Sterne, J. A. C., Egger, M., & Smith, G. D. (2001) · BMJ · doi:10.1136/bmj.323.7304.101 · Cited by 2,225
Cited by
Alhazzani, W., Møller, M. H., Arabi, Y. M., Loeb, M., Gong, M. N., Fan, E., Oczkowski, S., Levy, M. M., Derde, L., Dzierba, A., et al. (2020) · Intensive Care Medicine · doi:10.1007/s00134-020-06022-5 · Cited by 2,105
Interpretation of the evidence for the efficacy and safety of statin therapy
Collins, R., Reith, C., Emberson, J., Armitage, J., Baigent, C., Blackwell, L., Blumenthal, R., Danesh, J., Smith, G. D., DeMets, D., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(16)31357-5 · Cited by 1,857
Standards of Medical Care in Diabetes—2008
American Diabetes Association (2008) · Diabetes Care · doi:10.2337/dc08-s012 · Cited by 1,377
Mapping global prevalence of depression among postpartum women
Wang, Z., Liu, J., Shuai, H., Cai, Z., Fu, X., Liu, Y., Xiao, X., Zhang, W., Krabbendam, E., Liu, S., et al. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01663-6 · Cited by 734
Applying principles of behaviour change to reduce SARS-CoV-2 transmission
West, R., Michie, S., Rubin, G. J., & Amlôt, R. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-0887-9 · Cited by 658
Metadata
- Authors
- Garg, A. X., Hackam, D., & Tonelli, M.
- Venue
- Clinical Journal of the American Society of Nephrology
- Published
- 2008-01
- Volume
- 3
- Issue
- 1
- Pages
- 253-260
- ISSN
- 1555-9041 (ISSN-L)
- OpenAlex
- W2126468223
- Cited by
- 2,258
- References
- 28
- FWCI
- 26.97
- Type
- journal article
- Language
- en
- Open access
- closed
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- Garg, A. X., Hackam, D., & Tonelli, M. (2008). Systematic Review and Meta-analysis: When One Study Is Just not Enough. Clinical Journal of the American Society of Nephrology. https://doi.org/10.2215/cjn.01430307
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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.