Evidence map›Paper›PMID 36498790›Full record

ArticleJournal of clinical medicine2022

Multidisciplinary Postoperative Validation of

Benedetta Bedetti, Philipp Schnorr, Sarah May, Jürgen Ruhlmann, Hojjat Ahmadzadehfar, Markus Essler, Alexander Quaas, Reinhard Büttner, Joachim Schmidt, Holger Palmedo and 2 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Benedetta BedettiDepartment of Thoracic Surgery, Helios Clinic Bonn/Rhein-Sieg, 53123 Bonn, Germany.ORCID 0000-0002-4362-1443
Philipp SchnorrDepartment of Thoracic Surgery, Helios Clinic Bonn/Rhein-Sieg, 53123 Bonn, Germany.ORCID 0000-0002-8853-9371
Sarah MayDepartment of Radiology and Nuclear Medicine, Johanniter Hospital Bonn, 53113 Bonn, Germany.
Jürgen RuhlmannDepartment of Nuclear Medicine and Radiology, Medicine Centre Bonn, 53115 Bonn, Germany.
Hojjat AhmadzadehfarDepartment of Nuclear Medicine and Radiology, Medicine Centre Bonn, 53115 Bonn, Germany.
Markus EsslerDepartment of Nuclear Medicine and Radiology, Medicine Centre Bonn, 53115 Bonn, Germany.
Alexander QuaasInstitute of Pathology, University Hospital Cologne, 50937 Köln, Germany.
Reinhard BüttnerInstitute of Pathology, University Hospital Cologne, 50937 Köln, Germany.
Joachim SchmidtDepartment of Thoracic Surgery, Helios Clinic Bonn/Rhein-Sieg, 53123 Bonn, Germany.
Holger PalmedoInstitute of Radiology and Nuclear Medicine, Kaiser-Passage Bonn, 53113 Bonn, Germany.
Yon-Dschun KoDepartment of Oncology, Johanniter Hospital Bonn, 53113 Bonn, Germany.
Kai WilhelmDepartment of Radiology and Nuclear Medicine, Johanniter Hospital Bonn, 53113 Bonn, Germany.ORCID 0000-0002-4725-9672

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to examine the validity of PET/CT scans in the preoperative identification of lymph node metastases (LNM) and compare them with postoperative outcomes.

methodsIn this retrospective study, we included 87 patients with a solitary lung nodule or biopsy-proven non-small cell lung cancer treated in our institution from 2009 to 2015. Patients were divided into two groups and four subgroups, depending on pre- and postoperative findings.

resultsAccording to our analysis, PET/CT scan has a sensitivity of 50%, a specificity of 88.89%, a positive predictive value of 63.16%, and a negative predictive value of 82.35%. Among the patients, 13.8% were downstaged in PET-CT, while 8% were upstaged. In 78.2% of cases, the PET/CT evaluation was consistent with the histology. Metastases without extracapsular invasion were seldom recognized on PET/CT.

conclusionsThis analysis showed the significance of extracapsular tumor invasion, which causes an inflammatory reaction, on LNM, which is probably responsible for preoperative false-positive findings. In conclusion, PET/CT scans are very effective in identifying patients without tumors. Furthermore, it is highly probable that patients with negative findings are free of disease.

Indexed as

lymph node metastasesnodal stagingnon-small cell lung cancerPET/CT scan

Identifiers

PMID36498790
PMCPMC9741057

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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.