2021
DOI: 10.1259/bjro.20210005
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The diagnostic performance of chest radiographs for lung malignancy in symptomatic primary-care populations: A systematic review and meta-analysis

Abstract: Objectives: To synthesise existing evidence for the diagnostic accuracy of chest radiographs to detect lung malignancy in symptomatic patients presenting to primary care. Methods: A systematic review was performed and reported in accordance with the PRISMA framework, using a protocol prospectively registered with the PROSPERO database (CRD42020212450). Nine databases were searched for relevant studies. Data were extracted and chest radiograph sensitivity and specificity calculated where possible. Risk of bias … Show more

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Cited by 2 publications
(5 citation statements)
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References 13 publications
(8 reference statements)
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“…The sensitivity estimates for chest X‐ray spans from 76.8% (95% CI = 64.5 to 84.2%) to 79.7% (95% CI = 72.7 to 86.8%) considering similar primary care systems 17,18 . In symptomatic patients presenting to primary care, the sensitivity of chest radiograph to detect lung malignancy is 81%, with specificity 68% and this implies a high risk of false‐negative 19 . A key factor is nodule appearance.…”
Section: Discussionmentioning
confidence: 99%
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“…The sensitivity estimates for chest X‐ray spans from 76.8% (95% CI = 64.5 to 84.2%) to 79.7% (95% CI = 72.7 to 86.8%) considering similar primary care systems 17,18 . In symptomatic patients presenting to primary care, the sensitivity of chest radiograph to detect lung malignancy is 81%, with specificity 68% and this implies a high risk of false‐negative 19 . A key factor is nodule appearance.…”
Section: Discussionmentioning
confidence: 99%
“…In the index case, the chest radiograph before surgery failed to pick up the lesion. Chest X‐ray fails to identify LC (mostly initially) in more than 20% of people who are subsequently diagnosed with LC 19 . No one should be reassured by a negative chest radiograph if there is a high clinical suspicion for malignancy, and cross‐sectional imaging should be considered.…”
Section: Discussionmentioning
confidence: 99%
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“…La sensibilidad (81%) y especificidad (68%) son relativamente bajas para detectar neoplasias malignas, con una tasa de falsos negativos de 20%. 32 Se pueden encontrar imágenes sugerentes de neoplasia como las radiopacidades nodulares, derrame pleural, zonas de consolidación o ensanchamiento mediastinal.…”
Section: Recomendaciones (Figura 1)unclassified