Evidence map›Paper›PMID 42433992›Full record

ArticleFrontiers in medicine2026

Misdiagnosis analysis and multidisciplinary collaborative treatment of primary cutaneous diffuse large B-cell lymphoma: case report.

Hongjuan Ji, Qiao Zhang, Gaowei Zhang, Hongli Ji, Lei Zhao

Abstract readCase Reports
In one paragraph

Article in Frontiers in medicine, 2026. 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
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.

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

5 authors.

Hongjuan Ji *Department of Ultrasound Medicine, The 988th Hospital of Joint Logistic Support Force of the Chinese People's Liberation Army, Zhengzhou, Henan, China.
Qiao Zhang *Department of Hematology and Oncology, The 988th Hospital of Joint Logistic Support Force of the Chinese People's Liberation Army, Zhengzhou, Henan, China.
Gaowei ZhangDepartment of Orthopedics, The 988th Hospital of Joint Logistic Support Force of the Chinese People's Liberation Army, Zhengzhou, Henan, China.
Hongli JiDepartment of Hematology and Oncology, The 988th Hospital of Joint Logistic Support Force of the Chinese People's Liberation Army, Zhengzhou, Henan, China.
Lei ZhaoDepartment of Orthopedics, The 988th Hospital of Joint Logistic Support Force of the Chinese People's Liberation Army, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary cutaneous diffuse large B-cell lymphoma (PC-DLBCL) is a rare subtype of non-Hodgkin lymphoma with nonspecific cutaneous manifestations, leading to frequent misdiagnosis. This case describes an elderly patient with severe ulcerative skin lesions who was misdiagnosed repeatedly and required multidisciplinary orthopedic-hematologic management, thus providing valuable evidence for clinical practice. An 85-year-old male presented with progressive erythematous papules, ulcers, and subcutaneous nodules on the right forearm, chest, back, and left upper arm. Pathology and immunohistochemistry confirmed primary cutaneous diffuse large B-cell lymphoma. He underwent orthopedic debridement, autologous skin grafting, and 4 cycles of R-miniCHOP immunochemotherapy. Skin lesions resolved completely without recurrence, and 7-month follow-up showed favorable recovery. The key take-away is that PC-DLBCL is often misdiagnosed; early pathological biopsy and multidisciplinary collaboration between orthopedics and hematology-oncology are essential for accurate diagnosis and effective treatment to improve prognosis in elderly patients.

Indexed as

diffuse large B-cell lymphomalymphomaprimary cutaneous malignant lymphomarituximabskin

Identifiers

PMID42433992
PMCPMC13349839

What OpenQuestion holds

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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.