Evidence map›Paper›PMID 37559607›Full record

ArticleJournal of thoracic disease2023

Comparative outcomes of lung volume reduction surgery and lung transplantation: a systematic review and meta-analysis.

Danial Ahmad, Brandon E Ferrell, Abhiraj Saxena, Diana C Jimenez, Thomas J O'Malley, Marco A Dispagna, Tyler Grenda, Vakhtang Tchantchaleishvili

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Danial AhmadDivision of Cardiac Surgery, Thomas Jefferson University, Philadelphia, PA, USA.
Brandon E FerrellDivision of Cardiac Surgery, Thomas Jefferson University, Philadelphia, PA, USA.
Abhiraj SaxenaDivision of Cardiac Surgery, Thomas Jefferson University, Philadelphia, PA, USA.
Diana C JimenezDivision of Cardiac Surgery, Thomas Jefferson University, Philadelphia, PA, USA.
Thomas J O'MalleyDivision of Cardiac Surgery, Thomas Jefferson University, Philadelphia, PA, USA.
Marco A DispagnaDivision of Cardiac Surgery, Thomas Jefferson University, Philadelphia, PA, USA.
Tyler GrendaDivision of Thoracic & Esophageal Surgery, Thomas Jefferson University, Philadelphia, PA, USA.
Vakhtang TchantchaleishviliDivision of Cardiac Surgery, Thomas Jefferson University, Philadelphia, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lung volume reduction (LVR) and lung transplantation (LTx) have been used in different populations of chronic obstructive pulmonary disease (COPD) patients. To date, comparative study of LVR and LTx has not been performed. We sought to address this gap by pooling the existing evidence in the literature. Methods: An electronic search was performed to identify all prospective studies on LVR and LTx published since 2000. Baseline characteristics, perioperative variables, and clinical outcomes were extracted and pooled for meta-analysis. Results: The analysis included 65 prospective studies comprising 3,671 patients [LTx: 15 studies (n=1,445), LVR: 50 studies (n=2,226)]. Mean age was 60 [95% confidence interval (CI): 58-62] years and comparable between the two groups. Females were 51% (95% CI: 30-71%) in the LTx group Conclusions: LTx results in better FEV1 but otherwise has comparable outcomes to LVR.

Indexed as

endobronchial lung volume reductionLung transplantation (LTx)lung volume reduction (LVR)lung volume reduction surgery (LVRS)National Emphysema Treatment Trial (NETT)

Identifiers

PMID37559607
PMCPMC10407480

What OpenQuestion holds

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Registered trials

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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.