Chest X-ray sensitivity and lung cancer outcomes: a retrospective observational study
Background Chest X-ray (CXR) is the first-line investigation for lung cancer in many healthcare systems. An understanding of the consequences of false negative CXRs on time to diagnosis, stage, and survival is limited. Aim To determine the sensitivity of CXR for lung cancer and to compare stage at d...
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Veröffentlicht in: | British journal of general practice 2021-11, Vol.71 (712), p.E862-E868 |
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Zusammenfassung: | Background Chest X-ray (CXR) is the first-line investigation for lung cancer in many healthcare systems. An understanding of the consequences of false negative CXRs on time to diagnosis, stage, and survival is limited. Aim To determine the sensitivity of CXR for lung cancer and to compare stage at diagnosis, time to diagnosis, and survival between those with CXR that detected, or did not detect, lung cancer. Design and setting Retrospective observational study using routinely collected healthcare data. Method All patients diagnosed with lung cancer in Leeds Teaching Hospitals NHS Trust during 2008-2015 who had a GP-requested CXR in the year before diagnosis were categorised based on the result of the earliest CXR performed in that period. The sensitivity of CXR was calculated and analyses were performed with respect to time to diagnosis, survival, and stage at diagnosis. Results CXR was negative for 17.7% of patients (n = 376/2129). Median time from initial CXR to diagnosis was 43 days for those with a positive CXR and 204 days for those with a negative CXR. Of those with a positive CXR, 29.8% (95% confidence interval [CI] = 27.9% to 31.8%) were diagnosed at stage I or II, compared with 33.5% (95% CI = 28.8% to 38.6%) with a negative CXR. Conclusion GPs should consider lung cancer in patients with persistent symptoms even when CXR is negative. Despite longer duration to diagnosis for those with false-negative CXRs, there was no evidence of an adverse impact on stage at diagnosis or survival; however, this comparison is likely to be affected by confounding variables. |
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ISSN: | 0960-1643 1478-5242 |
DOI: | 10.3399/BJGP.2020.1099 |