ArticleJournal of thoracic disease2017
Pulmonary nodules and mini-invasive lung resection: do we have the right "tool" for their intraoperative localization?
Article in Journal of thoracic disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Lung nodule localization in hybrid room before minimally invasive thoracic surgery: series of 20 cases and literature review.Einstein (Sao Paulo, Brazil) · 2022Review
- Intracorporeal direct measurement for localizing peripheral pulmonary nodules during thoracoscopy.Journal of thoracic disease · 2019Article
- Metabolic profiles of serum samples from ground glass opacity represent potential diagnostic biomarkers for lung cancer.Translational lung cancer research · 2019Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Identifiers
What OpenQuestion holds
Registered trials
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.