The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Patient Blood Management Bundles to Facilitate Implementation
Open accessAbstract
More than 30% of the world's population are anemic with serious economic consequences including reduced work capacity and other obstacles to national welfare and development. Red blood cell transfusion is the mainstay to correct anemia, but it is also 1 of the top 5 overused procedures. Patient blood management (PBM) is a proactive, patient-centered, and multidisciplinary approach to manage anemia, optimize hemostasis, minimize iatrogenic blood loss, and harness tolerance to anemia. Although the World Health Organization has endorsed PBM in 2010, many hospitals still seek guidance with the implementation of PBM in clinical routine. Given the use of proven change management principles, we propose simple, cost-effective measures enabling any hospital to reduce both anemia and red blood cell transfusions in surgical and medical patients. This article provides comprehensive bundles of PBM components encompassing 107 different PBM measures, divided into 6 bundle blocks acting as a working template to develop institutions' individual PBM practices for hospitals beginning a program or trying to improve an already existing program. A stepwise selection of the most feasible measures will facilitate the implementation of PBM. In this manner, PBM represents a new quality and safety standard.
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
Weber, C. F., Görlinger, K., Meininger, D., Herrmann, E., Bingold, T., Moritz, A., Cohn, L. H., & Zacharowski, K. (2012) · Anesthesiology · doi:10.1097/aln.0b013e318264c644 · Cited by 625
Self-citation
Cited by
Muñoz, 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
Self-citation
Metadata
- Authors
- Meybohm, P., Richards, T., Isbister, J., Hofmann, A., Shander, A., Goodnough, L. T., Muñoz, M., Gombotz, H., Weber, C. F., Choorapoikayil, S., Spahn, D. R., & Zacharowski, K.
- Venue
- Transfusion Medicine Reviews
- Publisher
- Elsevier BV
- Published
- 2017-01
- Volume
- 31
- Issue
- 1
- Pages
- 62-71
- ISSN
- 0887-7963 (ISSN-L)
- OpenAlex
- W2402780059
- Cited by
- 241
- References
- 1
- FWCI
- 17.56
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Patient Blood Management Bundles to Facilitate Implementation. https://app.cochat.ai/papers/10.1016/j.tmrv.2016.05.012
- The paper
- Meybohm, P., Richards, T., Isbister, J., Hofmann, A., Shander, A., Goodnough, L. T., Muñoz, M., Gombotz, H., Weber, C. F., Choorapoikayil, S., Spahn, D. R., & Zacharowski, K. (2017). Patient Blood Management Bundles to Facilitate Implementation. Transfusion Medicine Reviews. https://doi.org/10.1016/j.tmrv.2016.05.012
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.