Evidence map›Paper›PMID 38384867›Full record

ArticleCureus2024

Restrictive Allograft Syndrome After COVID-19 Pneumonia: A Case Report.

Yuji Ohizumi, Ryo Kurokawa, Shiori Amemiya, Tatsuya Ito, Masaaki Sato, Osamu Abe

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Cureus, 2024. 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
–field-weighted citation impact, top 96% 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, 0 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.

Yuji OhizumiRadiology, Graduate School of Medicine, The University of Tokyo, Tokyo, JPN.
Ryo KurokawaRadiology, Graduate School of Medicine, The University of Tokyo, Tokyo, JPN.
Shiori AmemiyaRadiology, Graduate School of Medicine, The University of Tokyo, Tokyo, JPN.
Tatsuya ItoRespiratory Medicine, Ome Municipal General Hospital, Tokyo, JPN.
Masaaki SatoThoracic Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, JPN.
Osamu AbeRadiology, Graduate School of Medicine, The University of Tokyo, Tokyo, JPN.
The University of Tokyo · JPUniversity of Tokyo Hospital · JPOme Municipal General Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic lung allograft dysfunction (CLAD) continues to be the leading cause of death in the long term after lung transplantation (LTx). CLAD has the following two main subtypes: bronchiolitis obliterans syndrome (BOS) and restrictive allograft syndrome (RAS). BOS features obstructive lung dysfunction, while RAS features restrictive lung dysfunction. Overall, RAS has a worse prognosis. The pathophysiology of CLAD is not fully understood; however, pulmonary infections can trigger CLAD, including coronavirus disease 2019 (COVID-19) pneumonia. Here, we describe a case of a 55-year-old female who received LTx about seven years ago and developed RAS after COVID-19 pneumonia. RAS was ultimately diagnosed based on the clinical course and imaging findings. Steroid pulse therapy and empirical antimicrobial therapy were initiated, but respiratory failure progressed, and the patient died 139 days after COVID-19 diagnosis, and 83 days after dyspnea progression. Clinicians should be aware of unusual stair-step clinical courses and imaging features in a given setting of pulmonary infection including COVID-19 to suspect CLAD in lung transplant patients.

Indexed as

allograftsbronchiolitis obliterans syndromecovid-19dyspneasteroids

Identifiers

PMID38384867
PMCPMC10879649
OpenAlexW4392001701

What OpenQuestion holds

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LicenceCC BY
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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.