Evidence map›Paper›PMID 25797976›Full record

ArticleNagoya journal of medical science2015

Evaluation of emphysema using three-dimensional computed tomography: association with postoperative complications in lung cancer patients.

Kenichi Kawakami, Shingo Iwano, Naozumi Hashimoto, Yoshinori Hasegawa, Shinji Naganawa

Open access · greenAbstract read
In one paragraph

Article in Nagoya journal of medical science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Lung emphysema and lung cancer: what do we know about it?Annals of translational medicine · 2020
    Review
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

5 authors at 1 institution in 1 country.

Kenichi KawakamiDepartment of Radiology, Nagoya University Graduate School of Medicine, Nagoya, Japan ; Department of Radiology, Toyota Memorial Hospital, Toyota, Japan.
Shingo IwanoDepartment of Radiology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Naozumi HashimotoDepartment of Respiratory Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Yoshinori HasegawaDepartment of Respiratory Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Shinji NaganawaDepartment of Radiology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Nagoya University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three-dimensional computed tomography (3D-CT) enables in vivo volumetry of total lung volume (TLV) and emphysematous low-attenuation volume (LAV) in patients with chronic obstructive pulmonary disease (COPD). We retrospectively investigated the correlation between preoperative 3D-CT volumetry and postoperative complications in lung cancer patients. We searched our institution's surgical records from December 2006 to December 2009 and selected patients who had undergone pulmonary lobectomy for primary lung cancer. From 3D-CT data, TLV and LAV <-950 HU of thresholds were retrospectively measured. The LAV% was calculated as follows: LAV% = LAV/TLV*100. The associations between the seven independent variables (LAV%, age, gender, body mass index, smoking history, forced expiratory volume in 1 second as percent forced vital capacity [FEV1%], and resected lobe) and the two outcomes (postoperative complications and prolonged postoperative stay [PPS]) were compared using logistic regression analysis. A total of 309 patients (222 males, 87 females; mean age, 67 years; range, 40-87 years) were evaluated. On multivariate analysis, age and LAV% were significantly correlated with postoperative complications (p = 0.006 and p = 0.006, respectively), and LAV% was significantly correlated with PPS (p = 0.031). LAV% measured using 3D-CT is more sensitive for predicting complications after lobectomy for lung cancer than FEV1%.

Indexed as

Chronic obstructive pulmonary diseaseComputed tomographyLung cancerPostoperative complicationThoracic surgery

Identifiers

PMID25797976
PMCPMC4361513
OpenAlexW1603846552

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.