Evidence map›Paper›PMID 35372021›Full record

ArticleFrontiers in oncology2022

CT-Derived Body Composition Values and Complications After Pneumonectomy in Lung Cancer Patients: Time for a Sex-Related Analysis?

Stefania Rizzo, Francesco Petrella, Claudia Bardoni, Lorenzo Bramati, Andrea Cara, Shehab Mohamed, Davide Radice, Giorgio Raia, Filippo Del Grande, Lorenzo Spaggiari

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
1.5field-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

13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Body mass index as a predictor of postoperative complications after anatomical lung resection.Kardiochirurgia i torakochirurgia polska = Polish journal of cardio-thoracic surgery · 2026
    Article
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  6. Review
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  11. Obesity and lung cancer-a narrative review.Journal of thoracic disease · 2023
    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

10 authors at 4 institutions in 2 countries.

Stefania RizzoService of Radiology, Imaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland.
Francesco PetrellaDepartment of Thoracic Surgery, European Institute of Oncology (IEO), IRCCS, Milan, Italy.
Claudia BardoniDepartment of Thoracic Surgery, European Institute of Oncology (IEO), IRCCS, Milan, Italy.
Lorenzo BramatiDepartment of Thoracic Surgery, European Institute of Oncology (IEO), IRCCS, Milan, Italy.
Andrea CaraDepartment of Thoracic Surgery, European Institute of Oncology (IEO), IRCCS, Milan, Italy.
Shehab MohamedDepartment of Thoracic Surgery, European Institute of Oncology (IEO), IRCCS, Milan, Italy.
Davide RadiceDivision of Epidemiology and Biostatistics, European Institute of Oncology (IEO), IRCCS, Milan, Italy.
Giorgio RaiaService of Radiology, Imaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland.
Filippo Del GrandeService of Radiology, Imaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland.
Lorenzo SpaggiariDepartment of Thoracic Surgery, European Institute of Oncology (IEO), IRCCS, Milan, Italy.
European Institute of Oncology · ITEnte Ospedaliero Cantonale · CHIstituti di Ricovero e Cura a Carattere Scientifico · ITUniversità della Svizzera italiana · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to assess if CT-derived body composition values and clinical characteristics are associated with the risk of postsurgical complications in men and women who underwent pneumonectomy for lung cancer. Materials and Methods: Patients who underwent pneumonectomy between 2004 and 2008 were selected. The ethics committee approved this retrospective study with waiver of informed content. Main clinical data collected were sex, age, weight and height to calculate body mass index (BMI), albumin, C-reactive protein, smoking status, side, sarcopenia, presurgical treatments, reoperation, and complications within 30 days after pneumonectomy, classified as: lung complications, cardiac complications, other complications, and any complication. From an axial CT image at the level of L3, automatic segmentations were performed to calculate skeletal muscle area (SMA), skeletal muscle density, subcutaneous adipose tissue, and visceral adipose tissue. Skeletal muscle index was calculated as SMA/square height. Univariate and multivariate logistic regression analyses were performed to estimate the risk of any complication, both on the total population and in a by sex subgroup analysis. All tests were two tailed and considered significant at 5% level. Results: A total of 107 patients (84 men and 23 women) were included. Despite no significant differences in BMI, there were significant differences of body composition values in muscle and adipose tissue parameters between men and women, with women being significantly more sarcopenic than men ( Conclusions: Body composition measurements extracted from routine CT may help in predicting complications after pneumonectomy, with men and women being different in quantity and distribution of muscle and fat, and men significantly more prone to postpneumonectomy complications with the increase of age and the decrease of skeletal muscle area.

Indexed as

body compositioncomplicationsfatlung cancermusclepneumonectomysex

Identifiers

PMID35372021
PMCPMC8964946
OpenAlexW4220910648

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.