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Aim To examine past Florence Nightingale Medal recipients’ parallels with the evolving nature of the nursing field as a whole. Design Descriptive research. Method The professional and demographic characteristics of 1,449 Florence Nightingale Medal recipients between 1920 and 2015 were analyzed to develop a high-level overview of the award recipient characteristics. Result Medal recipients were primarily female (98.07%), with 36% being Specialist nurses. Awards were mainly conferred for aid work (30.4%) in the context of war or armed conflict followed by Nursing education (17.2%) and disaster aid (14.9%). The majority of recipients were affiliated with the Red Cross and the majority of recipients were those conducting Red Cross duties. Conclusion Our results offer statistical validation for the dedication of these exceptional individuals, while also highlighting overall parallels with the ongoing development of the nursing field as it expands to better deliver culturally-sensitive care and to overcome outdated stereotypes that would otherwise constrain innovation.

Objects: Inflammation is one of the hallmarks of cancer. Tumor-associated inflammatory response plays a crucial role in enhancing tumorigenesis. This study aimed to establish an effective predictive nomogram based on inflammation factors in patients with advanced non-small cell lung cancer (NSCLC). Methods: We retrospectively evaluated 887 patients with advanced NSCLC between November 2004 and December 2015 and randomly divided them into primary (n = 520) and validation cohorts (n = 367). Cox regression analysis was used to identify prognostic factors for building the nomogram. The predictive accuracy and discriminative ability of the nomogram were determined using a concordance index (C-index), calibration plot, and decision curve analysis and were compared to the TNM staging system. Results: The nomogram was established using independent risk factors ( P < 0.05): age, TNM stage, C reaction protein-to-albumin ratio (CAR), and neutrophils (NEU). The C-index of the model for predicting OS had a superior discrimination power compared to that of the TNM staging system both in the primary [0.711 (95% CI: 0.675-0.747) vs 0.531 (95% CI: 0.488-0.574), P < 0.01] and validation cohorts [0.703, 95% CI: 0.671 -0.735 vs 0.582, 95% CI: 0.545-0.619, P < 0.01]. Decision curves also demonstrated that the nomogram had higher overall net benefits than that of the TNM staging system. Subgroup analyses revealed that the nomogram was a favorable prognostic parameter in advanced NSCLC ( P < 0.05). The results were internally validated using the validation cohorts. Conclusions: The proposed nomogram with inflammatory factors resulted in an accurate prognostic prediction in patients with advanced NSCLC.