Evidence map›Paper›PMID 31440912›Full record

ArticleSurgery today2020

Factors associated with compensatory lung growth after pulmonary lobectomy for lung malignancy: an analysis of lung weight and lung volume changes based on computed tomography findings.

Ikuma Wakamatsu, Haruhisa Matsuguma, Rie Nakahara, Masayuki Chida

Abstract read
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Article in Surgery today, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.3field-weighted citation impact, top 34% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Ikuma WakamatsuDivision of Thoracic Surgery, Tochigi Cancer Center, 4-9-13 Yohnan, Utsunomiya, 320-0834, Tochigi, Japan. ikumwaka@tochigi-cc.jp.
Haruhisa MatsugumaDivision of Thoracic Surgery, Tochigi Cancer Center, 4-9-13 Yohnan, Utsunomiya, 320-0834, Tochigi, Japan.
Rie NakaharaDivision of Thoracic Surgery, Tochigi Cancer Center, 4-9-13 Yohnan, Utsunomiya, 320-0834, Tochigi, Japan.
Masayuki ChidaDepartment of General Thoracic Surgery, Dokkyo Medical University, Mibu, Tochigi, Japan.
Tochigi Cancer Center · JPDokkyo Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo establish the factors associated with compensatory lung growth (CLG) in human adults.

methodsThe subjects of this study were 216 patients who underwent pulmonary lobectomy between January 2008 and March 2015 and had computed tomography (CT) scans done before and 2 years after surgery with no signs of recurrence. The predicted postoperative values of lung volume and lung weight, based on the preoperative CT data, were compared with those 2 years after surgery.

resultsWhen the predicted postoperative values were considered to be 100%, the mean lung volume and lung weight 2 years after surgery were 116 ± 16% and 115 ± 19%, respectively. CLG was defined as both lung volume ≥ 110% and lung weight ≥ 106% (CLG group; n = 108). Both univariate and multivariate analyses showed that younger age (≤ 60 years), a larger number of resected subsegments (≥ 10), and a light- (< 20 pack-years) or non-smoking history were significantly associated with CLG.

conclusionsThis study identified younger age, a light- or non-smoking history, and a large resection volume as the predictors of CLG in patients who underwent pulmonary lobectomy for lung malignancy. All of these three factors may be reasonably connected to CLG.

Indexed as

PneumonectomyRegenerationHumansLungOrgan SizeTomography, X-Ray ComputedCompensatory lung growthLung volumeLung weightPulmonary lobectomy

Identifiers

PMID31440912
OpenAlexW2969869857

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.