Evidence map›Paper›PMID 29651875›Full record

ArticleThe British journal of radiology2018

Is severe emphysema, as defined by quantitative CT measurement, a negative risk factor of radiation fibrosis?

Tatsuhiko Saito, Hidetsugu Nakayama, Takafumi Yamada, Sachica Shiraishi, Koichi Tokuuye

Abstract read
In one paragraph

Article in The British journal of radiology, 2018. 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
0.7field-weighted citation impact, top 28% 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, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Observational
  5. 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

5 authors at 2 institutions in 1 country.

Tatsuhiko Saito1 Department of Radiology, Tokyo Medical University Hospital , Tokyo , Japan.
Hidetsugu Nakayama1 Department of Radiology, Tokyo Medical University Hospital , Tokyo , Japan.
Takafumi Yamada1 Department of Radiology, Tokyo Medical University Hospital , Tokyo , Japan.
Sachica Shiraishi1 Department of Radiology, Tokyo Medical University Hospital , Tokyo , Japan.
Koichi Tokuuye1 Department of Radiology, Tokyo Medical University Hospital , Tokyo , Japan.
Tokyo Medical University Hospital · JPNational Center for Global Health and Medicine · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate whether patients with emphysema, as evaluated by quantitative CT image measurement, are at risk of developing radiation pneumonitis (RP) after radiotherapy (RT) for non-small cell lung cancer (NSCLC).

methodsBetween March 2011 and June 2015, 68 consecutive patients with Stage I NSCLC treated with a RT dose of 75 Gy given in 30 fractions were enrolled. The median age was 79 years and there were 45 males and 23 females. The number of patients with T

resultsThe mean difference percentages of LAA of ≤-860 (p = 0.0004) or -950 HU (p = 0.005) and average HU (p = 0.001) in patients with RP were significantly lower than those in patients without RP. The area under curve (AUC) of average HU was significantly higher than AUC of LAA of ≤-860 (p < 0.0001) or -950 HU (p < 0.0001). The RP rate after RT was significantly lower when the average HU values were ≤-850 HU (p = 0.0003).

conclusionPatients with emphysema evaluated by average HU (≤-850 HU) in the whole lung were found to be at low risk of RP after RT. Advances in Knowledge: Quantitative measurement of average HU from CT images was predicted of RP after RT.

Indexed as

AgedCarcinoma, Non-Small-Cell LungDose Fractionation, RadiationFemaleHumansLung NeoplasmsMaleNeoplasm StagingPulmonary EmphysemaRadiation PneumonitisRisk FactorsTomography, X-Ray Computed

Identifiers

PMID29651875
PMCPMC6221764
OpenAlexW2796909791

What OpenQuestion holds

Textmetadata
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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.