Evidence map›Paper›PMID 31516902›Full record

ReviewAnnals of translational medicine2019

Anesthetic considerations for lung resection: preoperative assessment, intraoperative challenges and postoperative analgesia.

Debra Lederman, Jasmeet Easwar, Joshua Feldman, Victoria Shapiro

Registry-linked trialOpen access · diamondAbstract readReview
In one paragraph

Review in Annals of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05922449 (Using Thoracic Paravertebral Block for Perioperative Lung Preservation During VATS Pulmonary Surgery), which is not on this map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 3% 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.

NCT05922449 nacompletednot on this mapstarted 2023, after this paper: background citation

Using Thoracic Paravertebral Block for Perioperative Lung Preservation During VATS Pulmonary Surgery: A Dual Center Randomized Controlled Trial

TypeinterventionalSponsorBeijing Tongren HospitalRan2023 to 2024Enrolled302ConditionsPostoperative Pulmonary ComplicationsArmsThoracic Paravertebral Block
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Debra LedermanNew York Medical College, Westchester Medical Center, Valhalla, New York, USA.
Jasmeet EaswarDepartment of Anesthesiology, New York Medical College, Westchester Medical Center, Valhalla, New York, USA.
Joshua FeldmanDepartment of Anesthesiology, New York Medical College, Westchester Medical Center, Valhalla, New York, USA.
Victoria ShapiroNew York Medical College, Westchester Medical Center, Valhalla, New York, USA.
New York Medical College · USWestchester Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article is intended to provide a general overview of the anesthetic management for lung resection surgery including the preoperative evaluation of the patient, factors influencing the intraoperative anesthetic management and options for postoperative analgesia. Lung cancer is the leading cause of death among cancer patients in the United States. In patients undergoing lung resection, perioperative pulmonary complications are the major etiology of morbidity and mortality. Risk stratification of patients should be part of the preoperative assessment to predict their risk of short-term

Indexed as

Acute lung injurychronic obstructive pulmonary disease (COPD)one-lung ventilation (OLV)ventilator induced lung injuryvideo-assisted thoracic surgery (VATS)

Identifiers

PMID31516902
PMCPMC6712248
OpenAlexW2928437820

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.