Evidence map›Paper›PMID 35049204›Full record

ArticleMedicine2021

Lung adenocarcinoma with eosinophilic pleural effusion: A case report.

Xiangxiang Zhou, Jingxuan Wan, Xin Gan

Open access · goldAbstract readCase Reports
In one paragraph

Article in Medicine, 2021. 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 71% 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

3 authors at 3 institutions in 1 country.

Xiangxiang ZhouDepartment of Respiratory and Critical Care Medicine, Jiangxi Provincial Chest Hospital, Nanchang, Jiangxi, China.
Jingxuan WanDepartment of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China.
Xin GanThe First Affiliated Hospital of Nanchang University, Nanchang, China.
China-Japan Friendship Hospital · CNFirst Affiliated Hospital of Nanchang University · CNJiangxi Chest Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleEosinophilic pleural effusion (EPE) is a rare phenomenon in which the etiological diagnosis remains a challenging issue; here, we present a patient who was eventually diagnosed with malignant EPE by parietal pleural biopsy. PATIENT CONCERNS: The patient was a 73-year-old man with pulmonary tuberculosis who was taking isoniazid and rifampin; after 6 months, he had right-sided eosinophilic pleura, and histopathological examination of the parietal pleura revealed malignant cells from the lung. DIAGNOSIS: Based on the parietal pleural biopsy, the patient was diagnosed with lung adenocarcinoma with ipsilateral pleural metastasis stage IVA.

interventionsThe patient received a first-line systemic chemotherapy regimen (premetrexed and carboplatin). OUTCOMES: The patient received 2 cycles of chemotherapy, and based on the response evaluation criteria for solid tumors, he achieved partial response and the effusion disappeared. LESSONS: This case presents a patient with tuberculosis who was suffering from an EPE, which was eventually diagnosed as malignant EPE based on histopathological examination through medical thoracoscopy, although multiple Thinprep cytology tests showed no evidence of malignancy, pleural biopsy is necessary to obtain an accurate etiology diagnosis.

Indexed as

Pleural EffusionAdenocarcinoma of LungAgedAntineoplastic AgentsBiopsyExudates and TransudatesHumansLung NeoplasmsMalePleuraTomography, X-Ray ComputedTreatment OutcomeAntineoplastic Agents

Identifiers

PMID35049204
PMCPMC9191373
OpenAlexW4200620236

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.