Evidence map›Paper›PMID 31534809›Full record

ArticleCase reports in oncological medicine2019

Invasive Aspergillosis in a Patient with Stage III (or 3a or 3b) Non-Small-Cell Lung Cancer Treated with Durvalumab.

Ashish Gupta, Aung Tun, Katy Ticona, Aam Baqui, Elizabeth Guevara

Open access · goldAbstract readCase Reports
In one paragraph

Article in Case reports in oncological medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 17 citations in OpenAlex.

  1. Salvage Pneumonectomy for Rapidly Progressive Destroyed Lung during Durvalumab Maintenance after Chemoradiotherapy.Annals of thoracic and cardiovascular surgery : official journal of the Association of Thoracic and Cardiovascular Surgeons of Asia · 2026
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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 1 institution in 1 country.

Ashish GuptaInternal Medicine, The Brooklyn Hospital Center, Brooklyn, New York, NY, USA.ORCID https://orcid.org/0000-0003-3990-2661
Aung TunHematology Oncology, The Brooklyn Hospital Center, Brooklyn, New York, NY, USA.
Katy TiconaHematology Oncology, The Brooklyn Hospital Center, Brooklyn, New York, NY, USA.
Aam BaquiPathology, The Brooklyn Hospital Center, Brooklyn, New York, NY, USA.
Elizabeth GuevaraInternal Medicine, The Brooklyn Hospital Center, Brooklyn, New York, NY, USA.
Brooklyn Hospital Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Durvalumab is a therapeutic monoclonal antibody that blocks the checkpoint inhibitor, programmed death ligand 1 (PD-L1), resulting in T-cell activation and an antitumor response. Durvalumab is approved for patients with unresectable stage III non-small-cell lung cancer (NSCLC) which has not progressed following platinum-based chemoradiotherapy. A 63-year-old man presented to the emergency department with a 15-day history of increasing shortness of breath. Several months previously, he had been diagnosed with a poorly differentiated stage IIIB NSCLC. He had completed six cycles of chemotherapy with paclitaxel and carboplatin and four cycles of immunotherapy with durvalumab 13 days before his emergency hospital admission. Computed tomography (CT) imaging showed a large left-sided loculated hydropneumothorax suggestive of empyema, patchy opacification of the left lung, and a left upper lobe lung mass. Histology of the cell block from the pleural fluid and decorticated lung tissue showed hyphae suggestive of invasive

Identifiers

PMID31534809
PMCPMC6732593
OpenAlexW2970873627

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.