Evidence map›Paper›PMID 39417196›Full record

ArticleAmerican journal of cancer research2024

Interstitial pneumonia development after chemotherapy in B-cell non-hodgkin's lymphoma patients: clinical profiles and risk factors.

Ruijuan Ma, Yuan Li, Shaoning Yin, Yuhuan Gao, Guimin Zhao

Abstract read
In one paragraph

Article in American journal of cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Ruijuan MaDepartment of Hematology, The Fourth Hospital of Hebei Medical University Shijiazhuang 050000, Hebei, China.
Yuan LiDepartment of Hematology, The Fourth Hospital of Hebei Medical University Shijiazhuang 050000, Hebei, China.
Shaoning YinDepartment of Hematology, The Fourth Hospital of Hebei Medical University Shijiazhuang 050000, Hebei, China.
Yuhuan GaoDepartment of Hematology, The Fourth Hospital of Hebei Medical University Shijiazhuang 050000, Hebei, China.
Guimin ZhaoDepartment of Hematology, The Fourth Hospital of Hebei Medical University Shijiazhuang 050000, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interstitial pneumonia (IP) is a significant adverse effect of chemotherapy in B-cell non-Hodgkin's lymphoma (NHL) patients. This study aimed to identify the clinical characteristics, risk factors, and treatment outcomes associated with IP in these patients. A retrospective review of 615 NHL patients treated at the Fourth Hospital of Hebei Medical University from 2016 to 2021 identified 50 patients with IP post-chemotherapy as the case group. A propensity score matched control group of 55 patients without pneumonia was established. Clinical profiles, risk factors, and treatment outcomes were evaluated. The IP incidence was 8.13% (50/615) in B-cell NHL patients. Multivariate analysis revealed liposomes, elevated lactate dehydrogenase (LDH), and erythrocyte sedimentation rate (ESR) as independent risk factors for IP. Receiver Operating Characteristic (ROC) curve analyses suggested that alterations in LDH and ESR could predict IP risk. The conclusion suggests that IP is associated with liposomal doxorubicin-induced lung injury and other cytotoxic chemotherapy, possibly due to Rituximab (RTX)-induced immune imbalance. Given the potential of IP with pulmonary infections, high-risk patients may need prophylactic antibiotics and appropriate corticosteroid therapy.

Indexed as

B-cell non-Hodgkin’s lymphomainterstitial pneumoniapost-chemotherapyrisk factorsrituximab

Identifiers

PMID39417196
PMCPMC11477814

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.