Martins, Russell Seth

AbstractBackgroundSex disparities have previously been identified in surgical academia. This study examines sex differences in the top‐cited contemporary general surgery articles and compares Altimetric Attention Score (AAS) and other impact metrics between male and female corresponding authors (CAs).MethodsWe conducted a bibliometric analysis of the 100 most cited articles published between 2019 and 2021 in each of the top 10 general surgery journals based on the 2021 Journal Impact Factor. Impact metrics included AAS, citation count, and H‐index of the CA. We used multivariable regression analyses to investigate whether the sex of the CA or first author (FA) was independently associated with AAS and citation count.ResultsAmong 1000 articles, 23.1% had female CAs and 27.4% female FAs. Female CA articles had higher AAS (13.0 [2.0–63.0] vs. 8.0 [1.0–28.5]; p < 0.001) and lower H‐indices (24.0 [11.0–45.0] vs. 31.0 [17.0–50.0]; p = 0.015). Although median citation count did not differ by CA sex, articles with Level 1 evidence and a female CA were cited more often (35.5 [24.0–85.0] vs. 25.0 [16.0 vs. 46.0]; p < 0.05). In multivariable regression, female CA articles had higher AAS (OR: 1.002 [95% CI: 1.001–1.004]) and lower H‐index (OR: 0.987 [95% CI: 0.977–0.997]).ConclusionDespite having similar citation counts, articles authored by female CAs exhibit higher AAS scores compared to those authored by their male counterparts. While it is heartening that research authored by female surgeons achieves significant visibility, it remains to be understood how this translates into academic impact and scholarly recognition.

Objectives: We aimed to quantify the contributions of patient characteristics (PC), hospital structural characteristics (HC), and hospital operative volumes (HOV) to in-hospital mortality (IHM) after major surgery in the United States (US). Background: The volume-outcome relationship correlates higher HOV with decreased IHM. However, IHM after major surgery is multifactorial, and the relative contribution of PC, HC, and HOV to IHM after major surgery is unknown. Study Design: Patients undergoing major pancreatic, esophageal, lung, bladder, and rectal operations between 2006 and 2011 were identified from the Nationwide Inpatient Sample linked to the American Hospital Association survey. Multilevel logistic regression models were constructed using PC, HC, and HOV to calculate attributable variability in IHM for each. Results: Eighty thousand nine hundred sixty-nine patients across 1025 hospitals were included. Postoperative IHM ranged from 0.9% for rectal to 3.9% for esophageal surgery. Patient characteristics contributed most of the variability in IHM for esophageal (63%), pancreatic (62.9%), rectal (41.2%), and lung (44.4%) operations. HOV explained < 25% of variability for pancreatic, esophageal, lung, and rectal surgery. HC accounted for 16.9% and 17.4% of the variability in IHM for esophageal and rectal surgery. Unexplained variability in IHM was high in the lung (44.3%), bladder (39.3%), and rectal (33.7%) surgery subgroups. Conclusions: Despite recent policy focus on the volume-outcome relationship, HOV was not the most important contributor to IHM for the major organ surgeries studied. PC remains the largest identifiable contributor to hospital mortality. Quality improvement initiatives should emphasize patient optimization and structural improvements, in addition to investigating the yet unexplained sources contributing to IHM.

Multisystem Inflammatory Syndrome in Children (MIS-C), representing a new entity in the spectrum of manifestations of COVID-19, bears symptomatic resemblance with Kawasaki Disease (KD). This review explores the possible associations between KD and the human coronaviruses and discusses the pathophysiological similarities between KD and MIS-C and proposes implications for the pathogenesis of MIS-C in COVID-19. Since 2005, when a case-control study demonstrated the association of a strain of human coronavirus with KD, several studies have provided evidence regarding the association of different strains of the human coronaviruses with KD. Thus, the emergence of the KD-like disease MIS-C in COVID-19 may not be an unprecedented phenomenon. KD and MIS-C share a range of similarities in pathophysiology and possibly even genetics. Both share features of a cytokine storm, leading to a systemic inflammatory response and oxidative stress that may cause vasculitis and precipitate multi-organ failure. Moreover, antibody-dependent enhancement, a phenomenon demonstrated in previous coronaviruses, and the possible superantigenic behavior of SARS-CoV-2, possibly may also contribute toward the pathogenesis of MIS-C. Lastly, there is some evidence of complement-mediated microvascular injury in COVID-19, as well as of endotheliitis. Genetics may also represent a possible link between MIS-C and KD, with variations in FcγRII and IL-6 genes potentially increasing susceptibility to both conditions. Early detection and treatment are essential for the management of MIS-C in COVID-19. By highlighting the potential pathophysiological mechanisms that contribute to MIS-C, our review holds important implications for diagnostics, management, and further research of this rare manifestation of COVID-19.