The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Meta-analysis of the association between preoperative anaemia and mortality after surgery
Open accessAbstract
Background: Numerous published studies have explored associations between anaemia and adverse outcomes after surgery. However, there are no evidence syntheses describing the impact of preoperative anaemia on postoperative outcomes. Methods: A systematic review and meta-analysis of observational studies exploring associations between preoperative anaemia and postoperative outcomes was performed. Studies investigating trauma, burns, transplant, paediatric and obstetric populations were excluded. The primary outcome was 30-day or in-hospital mortality. Secondary outcomes were acute kidney injury, stroke and myocardial infarction. Predefined analyses were performed for the cardiac and non-cardiac surgery subgroups. A post hoc analysis was undertaken to evaluate the relationship between anaemia and infection. Data are presented as odds ratios (ORs) with 95 per cent c.i. Results: From 8973 records, 24 eligible studies including 949 445 patients were identified. Some 371 594 patients (39·1 per cent) were anaemic. Anaemia was associated with increased mortality (OR 2·90, 2·30 to 3·68; I2 = 97 per cent; P < 0·001), acute kidney injury (OR 3·75, 2·95 to 4·76; I2 = 60 per cent; P < 0·001) and infection (OR 1·93, 1·17 to 3·18; I2 = 99 per cent; P = 0·01). Among cardiac surgical patients, anaemia was associated with stroke (OR 1·28, 1·06 to 1·55; I2 = 0 per cent; P = 0·009) but not myocardial infarction (OR 1·11, 0·68 to 1·82; I2 = 13 per cent; P = 0·67). Anaemia was associated with an increased incidence of red cell transfusion (OR 5·04, 4·12 to 6·17; I2 = 96 per cent; P < 0·001). Similar findings were observed in the cardiac and non-cardiac subgroups. Conclusion: Preoperative anaemia is associated with poor outcomes after surgery, although heterogeneity between studies was significant. It remains unclear whether anaemia is an independent risk factor for poor outcome or simply a marker of underlying chronic disease. However, red cell transfusion is much more frequent amongst anaemic patients.
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
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2009.06.005 · Cited by 19,575
Stang, A. (2010) · European Journal of Epidemiology · doi:10.1007/s10654-010-9491-z · Cited by 17,396
Prevalence and outcomes of anemia in cancer: a systematic review of the literature
Knight, K., Wade, S., & Balducci, L. (2004) · The American Journal of Medicine · doi:10.1016/j.amjmed.2003.12.008 · Cited by 878
Cited by
Iron deficiency anaemia revisited
Cappellini, M. D., Musallam, K. M., & Taher, A. T. (2020) · Journal of Internal Medicine · doi:10.1111/joim.13004 · Cited by 508
Richards, T., Baikady, R. R., Clevenger, B., Butcher, A., Abeysiri, S., Chau, M., Macdougall, I. C., Murphy, G., Swinson, R., Collier, T., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)31539-7 · Cited by 346
Abbott, T. E. F., Pearse, R. M., Archbold, R. A., Ahmad, T., Niebrzegowska, E., Wragg, A., Rodseth, R. N., Devereaux, P. J., & Ackland, G. L. (2018) · Anesthesia & Analgesia · doi:10.1213/ane.0000000000002560 · Cited by 265
Self-citationMuñoz, M., Laso‐Morales, M. J., Gómez‐Ramírez, S., Cadellas, M., Núñez‐Matas, M. J., & García‐Erce, J. A. (2017) · Anaesthesia · doi:10.1111/anae.13840 · Cited by 229
Metadata
- Authors
- Fowler, A. J., Ahmad, T., Phull, M. K., Allard, S., Gillies, M. A., & Pearse, R. M.
- Venue
- British Journal of Surgery
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-09-09
- Volume
- 102
- Issue
- 11
- Pages
- 1314-1324
- ISSN
- 0007-1323 (ISSN-L)
- 1365-2168
- OpenAlex
- W1845602831
- Cited by
- 587
- References
- 4
- FWCI
- 5.09
- Type
- journal article
- Language
- en
- Open access
- green
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
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.