Cited by 6Diabetes Treatment and ManagementEnhanced Recovery After SurgeryAnesthesia and Pain Management

Perioperative management of long-acting glucagon-like peptide-1 (GLP-1) receptor agonists. Comment on Br J Anaesth 2024; 132: 644–8

Open access
Potnuru, Paul P., Hernandez, Nadia, Nwokolo, Omonele O., Sen, Sudipta·2024·British Journal of Anaesthesia

Integrity signals

Registry

Crossref · 10.1016/j.bja.2024.05.043

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

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Claims other papers make about this one

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Cites

Flagged first, then by citations

Authors
Potnuru, P. P., Hernandez, N., Nwokolo, O. O., & Sen, S.
Affiliations
The University of Texas Health Science Center at Houston (US)
Corresponding author
Potnuru, Paul P.
Venue
British Journal of Anaesthesia
Publisher
Elsevier BV
Published
2024-10
Volume
133
Issue
4
Pages
884-886
ISSN
0007-0912 (ISSN-L)
OpenAlex
W4401033981
Cited by
6
References
4
Citations by year
2025: 6
Type
journal article
Language
en
Open access
Locations
  • British Journal of Anaesthesia (publishedVersion)
  • PubMed (publishedVersion)
Funders
NIH
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
  • Health Sciences › Medicine › Surgery › Enhanced Recovery After Surgery
  • Health Sciences › Medicine › Surgery › Anesthesia and Pain Management
Keywords
long-acting GLP-1 receptor agonists, perioperative care, delayed gastric emptying, treatment duration, gastric emptying
MeSH terms
Glucagon-Like Peptide-1 Receptor, Glucagon-Like Peptide-1 Receptor Agonists, Humans, Hypoglycemic Agents, Perioperative Care, Glucagon-Like Peptide 1

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.

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