Evidence map›Paper›PMID 41987154›Full record

ArticleBMC pulmonary medicine2026

Di̇agnosti̇c yi̇eld of EBUS i̇n medi̇asti̇nal stagi̇ng of extrapulmonary mali̇gnanci̇es; si̇ngle center cli̇ni̇cal experi̇ence.

Mehmet Akif Ekici, Oguzhan Turan, Enes Fatih Çelik, Mehmet Akif Tezcan, İbrahim Ethem Özsoy, Bayram Metin

Abstract read
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Article in BMC pulmonary medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Mehmet Akif EkiciDepartment of Thoracic Surgery, Kayseri City Hospital, Kayseri, Türkiye. ekicimakif@gmail.com.ORCID http://orcid.org/0000-0002-4694-1047
Oguzhan TuranDepartment of Thoracic Surgery, Kayseri City Hospital, Kayseri, Türkiye.ORCID http://orcid.org/0000-0001-6033-5601
Enes Fatih ÇelikDepartment of Thoracic Surgery, Kayseri City Hospital, Kayseri, Türkiye.ORCID http://orcid.org/0009-0009-1025-0410
Mehmet Akif TezcanDepartment of Thoracic Surgery, Kayseri City Hospital, Kayseri, Türkiye.ORCID http://orcid.org/0000-0002-2642-187X
İbrahim Ethem ÖzsoyDepartment of Thoracic Surgery, Kayseri City Hospital, Kayseri, Türkiye.ORCID http://orcid.org/0000-0003-2722-5309
Bayram MetinDepartment of Thoracic Surgery, Kayseri City Hospital, Kayseri, Türkiye.ORCID http://orcid.org/0000-0002-7773-9511

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate mediastinal staging is essential for treatment planning and prognostic assessment in patients with extrapulmonary malignancies. Endobronchial ultrasonography (EBUS) has emerged as a minimally invasive modality for mediastinal evaluation; however, evidence regarding its diagnostic performance in extrapulmonary malignancies remains limited.

methodsPatients with known extrapulmonary malignancies who underwent EBUS for mediastinal staging were retrospectively analyzed. Demographic characteristics, radiological findings, sampled lymph node stations, and pathological results were evaluated. Factors potentially associated with malignant mediastinal involvement were assessed.

resultsEBUS enabled successful sampling of mediastinal and hilar lymph nodes across multiple stations. Malignant involvement was identified in a subset of patients, while benign etiologies—including reactive and granulomatous lymphadenopathy—accounted for the majority of cases. Increased lymph node diameter was associated with malignancy, whereas primary tumor type and the number of sampled lymph nodes were not independent predictors of malignant pathology.

conclusionsEBUS appears to be a safe and reliable tool for mediastinal staging in patients with extrapulmonary malignancies. Its minimally invasive nature and diagnostic performance support its use as a first-line modality, potentially reducing the need for confirmatory mediastinoscopy in selected patients.

Indexed as

EndosonographyLymphatic MetastasisMediastinal NeoplasmsMediastinumAdultAgedAged, 80 and overBiopsyFemaleHumansLymphadenopathyLymph NodesMaleMiddle AgedNeoplasm StagingRetrospective StudiesEBUSExtrapulmonary MalignanciesMediastinal Staging

Identifiers

PMID41987154
PMCPMC13202763

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.