Evidence map›Paper›PMID 21359937›Full record

ArticleJapanese journal of radiology2011

High-resolution computed tomography features of pulmonary chronic graft-versus-host disease following hematopoietic stem cell transplantation: histopathological correlation.

Noriyo Yanagawa, Fumikazu Sakai, Noriko Kamata, Tsunekazu Hishima, Tamiko Takemura, Kazuteru Ohashi

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Article in Japanese journal of radiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 3 institutions in 1 country.

Noriyo YanagawaDepartment of Radiology, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Tokyo, Japan.
Fumikazu Sakai
Noriko Kamata
Tsunekazu Hishima
Tamiko Takemura
Kazuteru Ohashi
Tokyo Metropolitan Komagome Hospital · JPJapanese Red Cross Medical Center · JPSaitama Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purposes of this study were to evaluate the development pattern in patients with multiple episodes of chronic graft-versus-host disease (cGVHD) and to analyze the computed tomography (CT) appearances of the pulmonary parenchymal injury and its relation to treatment response. MATERIALS AND

methodsCT patterns from 41 episodes of cGVHD (25 patients) were evaluated retrospectively and classified into four groups: group 1, airway involvement; group 2, subpleural consolidation or ground glass opacity (GGO); group 3, peribronchovascular/periseptal GGO or consolidations; group 4, others. We analyzed the changing pattern of the CT appearance during multiple episodes and the relation between this CT pattern and response to treatment.

resultsNone of the patients showed airway involvement (group 1) and pulmonary parenchymal injury patterns (group 2 and 3) simultaneously in one episode. The group 3 CT pattern was more resistant to treatment than that of group 2 (P < 0.05). The pathological basis of the group 3 CT pattern varied but was characterized by mural incorporation fibrosis.

conclusionPulmonary cGVHD affected either the airway or pulmonary parenchyma but did not affect both simultaneously in one episode. Of the four patterns, peribronchovascular GGO/consolidations (group 3 CT pattern) was the most resistant to treatment.

Indexed as

AdultChronic DiseaseFemaleGraft vs Host DiseaseHematopoietic Stem Cell TransplantationHumansLung DiseasesMaleRetrospective StudiesRisk FactorsTomography, X-Ray Computed

Identifiers

PMID21359937
OpenAlexW2078848274

What OpenQuestion holds

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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.