Evidence map›Paper›PMID 28717693›Full record

ArticleJournal of global oncology2016

Pulmonary Nodules in Patients With Nonpulmonary Cancer: Not Always Metastases.

Rafael Caparica, Milena Perez Mak, Claudio Henrique Rocha, Pedro Henrique Isaacsson Velho, Publio Viana, Mauricio R L Moura, Marcos Roberto Menezes, Marcelo B P Amato, Olavo Feher

Abstract read
In one paragraph

Article in Journal of global oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
–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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  16. Texture analysis of iodine maps and conventional images for k-nearest neighbor classification of benign and metastatic lung nodules.Cancer imaging : the official publication of the International Cancer Imaging Society · 2021
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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

9 authors.

Rafael Caparica, Universidade de São Paulo; and , Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Milena Perez Mak, Universidade de São Paulo; and , Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Claudio Henrique Rocha, Universidade de São Paulo; and , Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Pedro Henrique Isaacsson Velho, Universidade de São Paulo; and , Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Publio Viana, Universidade de São Paulo; and , Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Mauricio R L Moura, Universidade de São Paulo; and , Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Marcos Roberto Menezes, Universidade de São Paulo; and , Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Marcelo B P Amato, Universidade de São Paulo; and , Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Olavo Feher, Universidade de São Paulo; and , Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe differential diagnosis of pulmonary nodules (PNs) includes metastases, lung cancers, infectious diseases, and scar tissue, among others. Because data regarding whether and when to perform a PN biopsy in patients with cancer are scarce, clinicians tend to assume that PNs are metastatic disease based solely on imaging. The current study evaluated the findings of PN biopsies in a population of patients with cancer and sought to determine the variables that correlated with higher odds of metastatic disease. PATIENTS AND

methodsWe conducted a retrospective, single-institution study that included consecutive patients with nonpulmonary solid malignancies who underwent PN biopsy from January 2011 to December 2013. Imaging and clinical variables were analyzed by logistic regression to determine the correlation between such variables and the odds of metastatic disease. Patients with previously known metastatic disease or primary hematologic malignancies were excluded.

resultsTwo hundred twenty-eight patients were included in the study. Metastatic disease was found in 146 patients (64%), 60 patients (26.3%) were diagnosed with a second primary lung tumor, and 22 patients (9.6%) had no cancer on biopsy. On multivariate analysis, the presence of multiple PNs (> 5 mm) and cavitation/necrosis were the only variables associated with higher odds (

conclusionMultiple PNs (> 5 mm) and cavitation were the two characteristics associated with the highest chances of metastatic disease. Our findings demonstrate that PNs should not be assumed to be metastases without performing a biopsy. This assumption may lead to high rates of misdiagnosis. Tissue sampling is fundamental for accurately diagnosing patients with cancer.

Identifiers

PMID28717693
PMCPMC5495454

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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.