ArticleCureus2022
Negative Appendicectomy Rate: Incidence and Predictors.
Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.
- Varying negative appendectomy rates after laparoscopic appendectomy: a systematic review and meta-analysis.Langenbeck's archives of surgery · 2023Pooled it
- Preservation Versus Routine Removal: Morbidity and Long-Term Outcomes Following Diagnostic Laparoscopy Versus Negative Appendectomy-A Regional Multicentre Observational Cohort Study.World journal of surgery · 2026Observational
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- Negative Appendectomy Rates and Their Correlation With the Use of Histopathology: A Clinical Audit.Cureus · 2026Article
- Hereditary angioedema: A national investigation of associated comorbidities and surgical procedures.The World Allergy Organization journal · 2025Article
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- Assessment of negative appendectomy in acute appendicitis diagnoses.Surgery in practice and science · 2025Article
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- Incidental Neoplasm and Histopathological Spectrum of Suspected Acute Appendicitis in Appendectomy Specimen: An Observational Study.JNMA; journal of the Nepal Medical Association · 2025Observational
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- Risk Factors Associated With Negative Appendicectomy Rates: A Retrospective Cohort Study.Cureus · 2024Article
- Imaging to Identify Delayed Mesh Infection Masquerading as Acute Appendicitis.The Indian journal of radiology & imaging · 2024Article
- Pathological Assessment of the Appendix in Appendectomies Performed in Children.Archives of Iranian medicine · 2024Article
- Evaluating the Diagnostic Accuracy of the Alvarado Score and Abdominal Ultrasound for Acute Appendicitis: A Retrospective Single-Center Study.Open access emergency medicine : OAEM · 2024Article
- Adult appendicitis score versus Alvarado score: A comparative study in the diagnosis of acute appendicitis.Surgery open science · 2023Article
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- Value of fecal calprotectin in prediction of acute appendicitis based on a proposed model of machine learning.Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES · 2023Article
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Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction Acute appendicitis is a common emergency surgical presentation. The gold standard treatment is surgery. Like any surgical procedure, appendicectomy is associated with complications. Negative appendicectomy (NA) can occur, and its incidence is 15%-39%. This study aimed to evaluate the rate and predictors of NA in a cohort. Patients and methods A retrospective study over a year through which data of patients who underwent emergency appendicectomies were collected and analyzed. The absence of inflammatory process and/or other significant pathology in the appendix was considered negative for appendicitis. An utter definition of NA was the absence of inflammatory cells in the appendix. The NA rate (NAR) was calculated using the standard criteria (NAR-SDC) and the strict criteria (NAR-STC). The routine laboratory parameters for diagnosing acute appendicitis on admission were collected. Increased inflammatory markers in the form of leucocytosis of total WBC > 11,000 per mm, elevated CPR > 5 mg/L, and isolated elevated total serum bilirubin > 20 µmol/L, were suggestive of acute appendicitis. Results Three hundred and seventy-two patients were included, 179 males and 193 females with a median age were 27 (5-94) years. The median duration of symptoms and waiting time to surgery were two days and one day, respectively. The mean admission WBC, C-reactive protein (CRP) and serum bilirubin levels were 12,600 (3,000-38,000)/mm
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Registered trials
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.