Evidence map›Paper›PMID 39762564›Full record

SynthesisLung2025

Surgical and Bronchoscopic Lung Volume Reduction for Severe Emphysema: A Systematic Review and Network Meta-analysis.

Shota Yamamoto, Nobuyuki Horita, Ryosuke Imai, Takayuki Niitsu

Abstract readSystematic ReviewNetwork Meta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Lung, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

4 authors.

Shota YamamotoDivision of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA.ORCID 0000-0002-3948-1601
Nobuyuki HoritaChemotherapy Center, Yokohama City University Hospital, Yokohama, Japan. horitano@yokohama-cu.ac.jp.ORCID 0000-0002-8200-0340
Ryosuke ImaiDepartment of Pulmonary Medicine, Thoracic Center, St. Luke's International Hospital, Chuo, Tokyo, Japan.
Takayuki NiitsuDepartment of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlong with lung volume reduction surgery (LVRS), bronchoscopic lung volume reduction is a treatment option for end-stage emphysema. However, comparisons among interventions remain insufficient.

methodsWe searched on PubMed, CENTRAL, Embase, and Web of Science. We included randomized controlled trials with outcomes measuring mid-term mortality within 6 months, changes in forced expiratory volume in one second (FEV

resultsTwenty-five randomized controlled trials involving 4,283 patients were included, identifying seven types of procedures and standard of care. Mid-term mortality increased in LVRS and endobronchial valve (EBV) (LVRS, risk ratio [RR] 3.26, 95% CrI 1.98-6.21, low certainty; EBV, RR 2.06 95% CrI 1.07-4.36, moderate certainty). LVRS showed the largest improvements: change in FEV

conclusionLVRS offers high efficacies but is accompanied by increased mid-term mortality. EBV and EBC also showed effectiveness; however, they increased pneumothorax, and EBV slightly increased mortality. For accurate assessment, long-term survival data of BLVR are needed.

Indexed as

BronchoscopyPneumonectomyPulmonary EmphysemaForced Expiratory VolumeHumansRandomized Controlled Trials as TopicSeverity of Illness IndexWalk TestBronchoscopyChronic obstructive pulmonary diseaseEmphysemaMeta-analysisSurgery

Identifiers

What OpenQuestion holds

Textmetadata
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.