Evidence map›Paper›PMID 29946778›Full record

ReviewAdvances in experimental medicine and biology

Non-Hodgkin Lymphoma Metabolism.

Brian James Kirsch, Shu-Jyuan Chang, Anne Le

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Advances in experimental medicine and biology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

7 citing papers in PubMed, 25 citations in OpenAlex.

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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

3 authors at 3 institutions in 2 countries.

Brian James KirschDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Shu-Jyuan ChangGraduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
Anne LeDepartment of Pathology and Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA. annele@jhmi.edu.
Johns Hopkins Medicine · USJohns Hopkins University · USKaohsiung Medical University · TW

Funding

Profiling Pancreatic Cancer Metabolism and Tumor Microenvironment for TherapyR21CA169757 · NCI · JOHNS HOPKINS UNIVERSITY · PI LE, ANNE · 2013 to 2014
$382k
NCI NIH HHS R21 CA169757
6 · The paper itself

Abstract

key pointsNon-Hodgkin lymphomas (NHLs) are a heterogeneous group of lymphoid neoplasms with differing biological characteristics. About 90% of all lymphomas in the United States originate from B lymphocytes, while the remaining originate from T cells [1]. The treatment of NHLs depends on neoplastic histology and the stage of the tumor, which will indicate whether radiotherapy, chemotherapy, or a combination is the best suitable treatment [2]. The American Cancer Society describes the staging of lymphoma as follows: Stage I is lymphoma in a single node or area. Stage II is when that lymphoma has spread to another node or organ tissue. Stage III is when it has spread to lymph nodes in two sides of the diaphragm. Stage IV is when the cancer has significantly spread to organs outside the lymph system. Radiation therapy is the traditional therapeutic route for localized follicular and mucosa-associated lymphomas. Chemotherapy is utilized for the treatment of large cell lymphomas and high-grade lymphomas [2]. However, treatment of indolent lymphomas remains problematic as the patients often have metastasis for which no standard approach exists [2].

Indexed as

AnimalsHumansLymphoma, Non-HodgkinAerobic glycolysisFatty acid metabolismGene expressionGlutamine metabolismHeterogeneous malignant lymphomasLactic acidosismTOR signaling

Identifiers

PMID29946778
OpenAlexW2809998604

What OpenQuestion holds

Textmetadata
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.