Evidence map›Paper›PMID 29245256›Full record

ReviewMedicine2017

Primary pulmonary extranodal NK/T-cell lymphoma of nasal type misdiagnosed as pneumonia: A case report and literature review.

Juan Zhang, MaoJuan Wang, XiaoDong Yang, Chang Liu, Xin He

Open access · goldAbstract readCase ReportsReview
In one paragraph

Review in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Primary pulmonary lymphoma in children.Orphanet journal of rare diseases · 2019
    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

5 authors at 2 institutions in 1 country.

Juan ZhangPeople's Hospital of DeYang City West China Hospital, Sichuan University Mianzhu Hospital of Traditional Chinese Medicine, Sichuan, China.
MaoJuan Wang
XiaoDong Yang
Chang Liu
Xin He
Fuyang City People's Hospital · CNWest China Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationalePrimary pulmonary NK/T cell lymphoma is extremely rare, and only a few cases have reported so far. Its diagnosis is mainly dependent on open-lung biopsy. PATIENT CONCERNS: Here, we report a 44-year-old male who was initially misdiagnosed as having pneumonia according to the clinical characteristics and computed tomography (CT) findings. DIAGNOSIS: The first lung biopsy indicated a large number of coagulative necrotic lesions, and definite diagnosis was made after the second lung biopsy following non-response to 6-day wide spectrum antibiotic therapy. The second lung biopsy showed the tumor cells were positive for LCA, CD3ε, CD30, TIA-1, Ki67 and negative for CD20, CD56, CD1a, MPO, CK, S-100, desmin, and CD34.

interventionsThis patient refused to receive further therapy and died 1 month after confirmed diagnosis. OUTCOMES: Clinically, it is difficult to differentiate pneumonia from NK/T cell lymphoma in pathology due to the presence of plenty of focal necrosis in primary pulmonary NK/T cell lymphoma. LESSONS: The diagnosis of primary pulmonary NK/T cell lymphoma should be based on lung biopsy (usually multiple lung biopsies are required), immunohistochemistry and clinical and imaging findings.

Indexed as

Diagnostic ErrorsAdultBiomarkers, TumorBiopsyFatal OutcomeHumansLung NeoplasmsLymphoma, Extranodal NK-T-CellMalePneumoniaTomography, X-Ray ComputedBiomarkers, Tumor

Identifiers

PMID29245256
PMCPMC5728871
OpenAlexW2775382502

What OpenQuestion holds

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LicenceCC BY-ND
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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.