Evidence map›Paper›PMID 36372527›Full record

ReviewThoracic surgery clinics2023

Robotic Bronchoscopy for the Diagnosis of Pulmonary Lesions.

Kaitlin C McLoughlin, Matthew J Bott

Open access · greenAbstract readReview
In one paragraph

Review in Thoracic surgery clinics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
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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

2 authors at 1 institution in 1 country.

Kaitlin C McLoughlinDepartment of Surgery, Thoracic Service, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA.
Matthew J BottDepartment of Surgery, Thoracic Service, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA. Electronic address: bottm@mskcc.org.
Memorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Exploring the combinatorial efficacy between chemotherapy and T cell checkpoint inhibition and the role of cellular senescenceK08CA245206 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI BOTT, MATTHEW J · 2020 to 2024
$1.3M
NCI NIH HHS K08 CA245206NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Pulmonary nodules (lesions <3 cm in size) are commonly identified on computed tomographic scans, but radiographic features alone are inadequate to reliably differentiate between benign and malignant etiologies. Therefore, tissue biopsy remains the standard approach to determine the appropriate treatment course for many patients with pulmonary nodules. Although percutaneous biopsy is highly accurate, it poses substantial risks of procedural complications, including pneumothorax and bleeding. Robotic bronchoscopy has recently been developed to overcome many of the limitations of previous navigational platforms. Here, we explore the currently available systems for robotic bronchoscopy-in particular, electromagnetic-navigation robotic-assisted bronchoscopy and shape-sensing robotic-assisted bronchoscopy.

Indexed as

Lung NeoplasmsMultiple Pulmonary NodulesRobotic Surgical ProceduresBronchoscopyElectromagnetic PhenomenaHumansLungElectromagnetic-navigation robotic-assisted bronchoscopyPulmonary nodulesRobotic bronchoscopyShape-sensing robotic-assisted bronchoscopy

Identifiers

PMID36372527
PMCPMC10566151
OpenAlexW4308886689

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.