Pre- and postoperative care for stage I–III NSCLC: Which quality of care indicators are evidence-based?

Numan, Rachel C.; Berge, M. Ten; Burgers, Jacobus A.; Klomp, Houke M.; Sandick, Johanna W. van; Baas, Paul; Wouters, Michel W. J. M.

doi:10.1016/j.lungcan.2016.05.022

Cited by 7 publications

(18 citation statements)

References 110 publications

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“…Generally speaking, rigid bronchoscopy with washings, brushes, and forceps biopsies (FB) are insufficiently sensitive (43–57%), through can be improved when combined with fluoroscopy for peripheral lesions. The diagnostic yield of FB is 50.5–81.5%, which is further improved with cytopathologic examination 4 . In both visible and non-visible tumors, transbronchial or ultrasound-guided fine needle aspirations increase the diagnostic yield ~20% over bronchoscopy with FB 4, 6 .…”

Section: Oncologic Quality Indicators In Surgically Resectable Nonmentioning

confidence: 99%

“…The diagnostic yield of FB is 50.5–81.5%, which is further improved with cytopathologic examination 4 . In both visible and non-visible tumors, transbronchial or ultrasound-guided fine needle aspirations increase the diagnostic yield ~20% over bronchoscopy with FB 4, 6 . The sensitivities and specificities of most image-guided techniques are similar, but the false negative rate is higher for needle aspirations than for mediastinoscopy (Table 2).…”

Section: Oncologic Quality Indicators In Surgically Resectable Nonmentioning

confidence: 99%

“…Instead, they recommended 12 evidence-based and 5 consensus-based process and outcomes measures related to preoperative assessment, pathologic staging and evaluation, surgical resection, and adjuvant therapy 2 . Subsequently, Numan et al used the Donabedian framework for two systematic reviews to identify supported indicators for quality pre- and post-operative care for stage I–IIIA NSCLC 3, 4 . Both strategies identified factors such as hospital size or teaching status, surgeon specialty, and access to multi-disciplinary care teams as significant contributors to favorable oncologic outcomes.…”

Section: Oncologic Quality Indicators In Surgically Resectable Nonmentioning

confidence: 99%

“…The sensitivities and specificities of most image-guided techniques are similar, but the false negative rate is higher for needle aspirations than for mediastinoscopy (Table 2). High negative predictive values often necessitate confirmatory testing 4, 6, 8 . Emerging data support the complementary roles of EUS-NA, EBUS-NA, and mediastinoscopy to avoid futile surgery 4, 8, 14 .…”

Section: Oncologic Quality Indicators In Surgically Resectable Nonmentioning

confidence: 99%

“…High negative predictive values often necessitate confirmatory testing 4, 6, 8 . Emerging data support the complementary roles of EUS-NA, EBUS-NA, and mediastinoscopy to avoid futile surgery 4, 8, 14 . In conclusion, there is high level evidence to support PET-CT, endosonography, and the combination of histological and cytological pathology for quality oncologic staging of the mediastinum 4, 6 .…”

Section: Oncologic Quality Indicators In Surgically Resectable Nonmentioning

confidence: 99%

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Oncologic Quality Indicators in Thoracic Surgery

Hudson

Semenkovich

2017

Thoracic Surgery Clinics

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Section: Oncologic Quality Indicators In Surgically Resectable Nonmentioning

confidence: 99%

Section: Oncologic Quality Indicators In Surgically Resectable Nonmentioning

confidence: 99%

Section: Oncologic Quality Indicators In Surgically Resectable Nonmentioning

confidence: 99%

Section: Oncologic Quality Indicators In Surgically Resectable Nonmentioning

confidence: 99%

Section: Oncologic Quality Indicators In Surgically Resectable Nonmentioning

confidence: 99%

See 3 more Smart Citations

Oncologic Quality Indicators in Thoracic Surgery

Hudson

Semenkovich

2017

Thoracic Surgery Clinics

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A prospective study evaluating perioperative quality metrics of cancer surgery: Experience from a tertiary care cancer centre in India

Gupta

Deo

Ray

et al. 2023

Journal of Surgical Oncology

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Background Well‐defined quality metrics were studied at this high‐volume tertiary care academic oncology centre to evaluate surgical quality and outcomes. Methods A prospective cohort of 691 patients undergoing major surgeries for all cancers was observed between 1 September 2018 and 30 August 2019 and predefined quality indicators in three categories: namely, optimal hospital resource utilisation, quality of surgery and perioperative outcomes were recorded during their admission period. Surgical procedures were divided into group I versus group II involving simple/moderate complexity versus high complexity procedures for analysis done using appropriate tests in STATA v14.0. Findings There were 373 versus 318 patients in group I versus group II with a mean of 48 years of age and 459 (66.43%) being females. Mean BMI was 24.58 kg/m2, haemoglobin 12.12 g/dL and mean serum albumin of 4.25 g (SD ± 0.6). A total of 667(96.53%) patients had an Eastern Co‐Operative Oncology Group performance score of 1 with 271 (39.22%) having comorbidities and 195 (28.22%) having tobacco/alcohol addictions. A total of 393 (56.87%) patients underwent prehabilitation. 83% of patients belonged to lower‐middle socioeconomic status and 32% of patients had some prior surgical intervention. Neoadjuvant therapy was administered in 44.5% versus 37.42%, mean preoperative hospital stay was 3.65 versus 6.16 days whereas postoperative was 2.6 versus 6.09 days with total stay being 6.27 versus 12.21 days, mean surgical duration was 132 versus 268 min with mean blood loss of 100 versus 245 mL (group I vs. group II, respectively). Intraoperative events, namely, unexpected bleeding and hypotension occurred in 144 (20.84%) patients while packed red blood cells and/or fresh frozen plasma transfusion was required in 56 (8.1%) patients. 40% of patients needed intensive care unit care postoperatively with 45 (6.51%) patients having some event (hypotension, sepsis, acute kidney injury, etc.). A total of 29 (<4%) patients had ≥grade 3 surgical complications while ≥grade 2 medical complications occurred in 6.43% versus 12.58% of patients (group I vs. group II). A total of 90 (13.02%) patients were readmitted, 15 (2.17%) re‐explored and 5 (0.72%) patients died. Conclusion Optimal surgical outcomes in this study compared to international standards underpin the need for well‐defined multidisciplinary perioperative pathways to be followed for each organ system and this framework can be adopted by other cancer centres in LMIC to achieve good surgical outcomes.

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Dutch Lung Surgery Audit: A National Audit Comprising Lung and Thoracic Surgery Patients

Berge

Beck

Heineman

et al. 2018

The Annals of Thoracic Surgery

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The audit provides reliable benchmarked information for caregivers and hospital management with potential to start local, regional, or national improvement initiatives. Currently, the audit is further completed with data from nonsurgical lung cancer patients, including treatment data from pulmonary oncologists and radiation oncologists. This will ultimately provide a comprehensive overview of lung cancer treatment in The Netherlands.

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Pre- and postoperative care for stage I–III NSCLC: Which quality of care indicators are evidence-based?

Cited by 7 publications

References 110 publications

Oncologic Quality Indicators in Thoracic Surgery

Oncologic Quality Indicators in Thoracic Surgery

A prospective study evaluating perioperative quality metrics of cancer surgery: Experience from a tertiary care cancer centre in India

Dutch Lung Surgery Audit: A National Audit Comprising Lung and Thoracic Surgery Patients

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