Evidence map›Paper›PMID 28255550›Full record

ArticleWorld journal of clinical cases2017

Indolent lung opacity: Ten years follow-up of pulmonary inflammatory pseudo-tumor.

Jad A Degheili, Nadim A Kanj, Salwa A Koubaissi, Mouhamad J Nasser

Open access · diamondAbstract readCase Reports
In one paragraph

Article in World journal of clinical cases, 2017. 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 98% 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

4 authors at 2 institutions in 2 countries.

Jad A DegheiliJad A Degheili, Division of General Surgery, Department of Surgery, American University of Beirut-Medical Center, 1107 2020 Beirut, Lebanon.
Nadim A KanjJad A Degheili, Division of General Surgery, Department of Surgery, American University of Beirut-Medical Center, 1107 2020 Beirut, Lebanon.
Salwa A KoubaissiJad A Degheili, Division of General Surgery, Department of Surgery, American University of Beirut-Medical Center, 1107 2020 Beirut, Lebanon.
Mouhamad J NasserJad A Degheili, Division of General Surgery, Department of Surgery, American University of Beirut-Medical Center, 1107 2020 Beirut, Lebanon.
American University of Beirut Medical Center · LBCreative Research Enterprises (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammatory pseudotumor (IPT) has always been considered a diagnostic challenge. Its rarity and resemblance to other more common pathological entities imposes that neither clinical nor radiological characteristics can lead to a definitive diagnosis. The surgical excision of the lesion is the ultimate approach for accurate diagnosis and cure. Moreover the true nature of IPT, its origin as a neoplastic entity or an over-reactive inflammatory reaction to an unknown trigger, has been a long debated matter. Surgery remains the treatment of choice. IPT is mostly an indolent disease with minimal morbidity and mortality. Local invasion and metastasis predict a poor prognosis. We hereby present a unique case of pulmonary IPT that was surgically excised, but recurred contralaterally, shortly thereafter. Despite no medical or surgical treatment for ten years, the lesion has remained stable in size, with neither symptoms nor extra-pulmonary manifestations.

Indexed as

Anaplastic lymphoma kinaseIgG4-related sclerosing diseaseInflammatory myofibroblastic tumorInflammatory pseudotumorPlasma cells granuloma

Identifiers

PMID28255550
PMCPMC5314263
OpenAlexW2588585783

What OpenQuestion holds

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LicenceCC BY-NC
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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.