Evidence map›Paper›PMID 35884468›Full record

ArticleCancers2022

Completion Pneumonectomy for Non-Small-Cell Lung Cancer: Does Induction Treatment Influence Postoperative Outcomes?

Domenico Galetta, Lorenzo Spaggiari

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. 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
0.5field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  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

2 authors at 1 institution in 1 country.

Domenico GalettaDivision of Thoracic Surgery, European Institute of Oncology IRCCS, 20141 Milan, Italy.ORCID 0000-0003-4040-7211
Lorenzo SpaggiariDivision of Thoracic Surgery, European Institute of Oncology IRCCS, 20141 Milan, Italy.
University of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCompletion pneumonectomy (CP) is associated with high morbidity and mortality. We reviewed our experience to evaluate whether induction treatment (IT) may affect postoperative outcomes and analyzed factors influencing long-term results.

methodsBetween 1998 and 2020, 69 patients with lung cancer underwent CP (50 males, median age 63 years, right CP in 47 patients). A total of 23 patients (33.3%) received IT (chemotherapy in 15, chemoradiotherapy in 7, and radiation in 1). Surgery included 25 (36.2%) extended resections and five (7.2%) tracheal sleeve CP.

resultsThe 30-day mortality rate was 7.2% (5/69), and overall morbidity was 37.6%. Major complications occurred in five patients (7.2%): one cardiac dislocation, one diaphragmatic hernia, one transient ischemic attack (TIA), and two bronchopleural fistulas. Minor complications occurred in 21 cases (30.4%): pulmonary in 12, cardiac in 7, and neurological in 2. The median hospital stay was 8 days (range, 5-56 days). IT did not influence postoperative morbidity and mortality. Pathological staging included 19 (27.5%) stage I, 36 (52.2%) stage II, and 14 (20.3%) stage III. Overall 5-year survival was 51.7%. Factors influencing survival were IT (

conclusionsIn our experience, CP had a low mortality, acceptable morbidity, and good long-term survival, which justifies this surgical procedure. Postoperative complications were not influenced by IT. Long-term survival was adversely influenced by the absence of IT, the presence of extended resection, the presence of squamous cell carcinoma, and cancers at advanced stages.

Indexed as

chemotherapylung cancer surgerypneumonectomy

Identifiers

PMID35884468
PMCPMC9317965
OpenAlexW4285393903

What OpenQuestion holds

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LicenceCC BY
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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.