Evidence map›Paper›PMID 28883221›Full record

ArticleJournal of clinical and experimental hematopathology : JCEH2017

Welder's pulmonary hemosiderosis associated with systemic iron overload following exacerbation of acute adult T-cell leukemia/lymphoma.

Naoto Imoto, Akira Shiraki, Katsuya Furukawa, Naoyuki Tange, Atsushi Murase, Masaya Hayakawa, Yosuke Iwata, Hiroshi Kosugi

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical and experimental hematopathology : JCEH, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Perls' Prussian Blue Stains of Lung Tissue, Bronchoalveolar Lavage, and Sputum.Journal of environmental pathology, toxicology and oncology : official organ of the International Society for Environmental Toxicology and Cancer · 2021
    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

8 authors at 2 institutions in 1 country.

Naoto ImotoDivision of Hematology and Oncology, Ogaki Municipal Hospital.
Akira ShirakiDivision of Respiratory Medicine, Ogaki Municipal Hospital.
Katsuya FurukawaDivision of Hematology and Oncology, Ogaki Municipal Hospital.
Naoyuki TangeDivision of Hematology and Oncology, Ogaki Municipal Hospital.
Atsushi MuraseDivision of Hematology and Oncology, Ogaki Municipal Hospital.
Masaya HayakawaDivision of Hematology and Oncology, Ogaki Municipal Hospital.
Yosuke IwataDivision of Pathology, Ogaki Municipal Hospital.
Hiroshi KosugiDivision of Hematology and Oncology, Ogaki Municipal Hospital.
Ogaki Municipal Hospital · JPNagoya University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Herein, we describe a 61-year-old man diagnosed with pulmonary hemosiderosis following chemotherapy for acute adult T-cell leukemia/lymphoma (ATLL). Liver and heart biopsy confirmed hemosiderosis. ATLL progressed, and the patient died from multiorgan damage. Welder's lung may have been involved in hemosiderosis and systemic iron overload. Abnormal iron metabolism or immune reactions may have influenced the clinical course, but these were not validated. Detailed analyses of family medical and lifestyle histories, and genetic examination should be performed in cases of systemic iron overload.

Indexed as

HemosiderosisIron OverloadLeukemia-Lymphoma, Adult T-CellLung DiseasesAcute DiseaseHemosiderosis, PulmonaryHumansMaleMiddle Agedadult T-cell leukemia lymphomapulmonary hemosiderosissystemic iron overloadwelder’s lung

Identifiers

PMID28883221
PMCPMC6158058
OpenAlexW2753263538

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.