SynthesisBMC surgery2023
Ability to predict surgical outcomes by surgical Apgar score: a systematic review.
Synthesis in BMC surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Virus and viral components transmitted through surgical smoke; a silent danger in operating room: a systematic review.BMC surgery · 2024Pooled it
- Surgical Intensity and Specialization Preferences in Healthcare: An Operation- and Process-Management Perspective Using Bibliometric Analysis, Cognitive Mapping and Analytic Network Process (ANP).Healthcare (Basel, Switzerland) · 2026Article
- Article
- Surgical apgar score and delayed neurocognitive recovery in elderly patients: a prospective cohort study.BMC surgery · 2025Article
- Comparative surgical outcomes of single port SP1098 vs multiport Xi platforms for benign hysterectomy using the validated comprehensive complication index.Journal of robotic surgery · 2025Article
- Plasma D-dimer can predict all-cause mortality after mechanical thrombectomy of anterior circulation noncardioembolic acute cerebral infarction.Langenbeck's archives of surgery · 2025Article
- Preoperative malnutrition predicts poor early immune recovery following gynecologic cancer surgery: a retrospective cohort study and risk nomogram development.Frontiers in immunology · 2025Article
- New Insights into the Assessment of Peri-Operative Risk in Women Undergoing Surgery for Gynecological Neoplasms: A Call for a New Tool.Medicina (Kaunas, Lithuania) · 2024Review
- An esophagectomy surgical Apgar score-based nomogram-a risk-based postoperative triage system: a phase II randomised trial.Journal of thoracic disease · 2024Article
- Physical activity trends as predictors of postoperative complications in oncology patients: A machine learning approach.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe Surgical Apgar score (SAS) is a straightforward and unbiased measure to assess the probability of experiencing complications after surgery. It is calculated upon completion of the surgical procedure and provides valuable predictive information. The SAS evaluates three specific factors during surgery: the estimated amount of blood loss (EBL), the lowest recorded mean arterial pressure (MAP), and the lowest heart rate (LHR) observed. Considering these factors, the SAS offers insights into the probability of encountering postoperative complications.
methodsThree authors independently searched the Medline, PubMed, Web of Science, Scopus, and Embase databases until June 2022. This search was conducted without any language or timeframe restrictions, and it aimed to cover relevant literature on the subject. The inclusion criteria were the correlation between SAS and any modified/adjusted SAS (m SAS, (Modified SAS). eSAS, M eSAS, and SASA), and complications before, during, and after surgeries. Nevertheless, the study excluded letters to the editor, reviews, and case reports. Additionally, the researchers employed Begg and Egger's regression model to evaluate publication bias.
resultsIn this systematic study, a total of 78 studies \were examined. The findings exposed that SAS was effective in anticipating short-term complications and served as factor for a long-term prognostic following multiple surgeries. While the SAS has been validated across various surgical subspecialties, based on the available evidence, the algorithm's modifications may be necessary to enhance its predictive accuracy within each specific subspecialty.
conclusionsThe SAS enables surgeons and anesthesiologists to recognize patients at a higher risk for certain complications or adverse events. By either modifying the SAS (Modified SAS) or combining it with ASA criteria, healthcare professionals can enhance their ability to identify patients who require continuous observation and follow-up as they go through the postoperative period. This approach would improve the accuracy of identifying individuals at risk and ensure appropriate measures to provide necessary care and support.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.