Evidence map›Paper›PMID 31119485›Full record

ReviewCurrent oncology reports2019

Follicular Lymphoma: Diagnostic and Prognostic Considerations in Initial Treatment Approach.

Kirsten M Boughan, Paolo F Caimi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current oncology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

2 authors.

Kirsten M BoughanCase Comprehensive Cancer Center, Cleveland, OH, USA.
Paolo F CaimiCase Comprehensive Cancer Center, Cleveland, OH, USA. paolo.caimi@case.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewFollicular lymphoma is a diverse disease, with a diverse variable biology, clinical presentation, and prognosis. The identification of factors that can predict the specific outcome of follicular lymphoma patients remains an area of need. Here, we review the significant advances made in follicular lymphoma prognosis in the last two decades, particularly with the advent of new genetic models. RECENT

findingsTumor burden remains an important predictor of prognosis and is still a standard upon which treatment initiation decisions are made. Clinical prognostic indices, including the follicular lymphoma international prognostic index (FLIPI) and FLIPI-2, are validated to predict overall survival and progression-free survival, respectively. However, clinical decisions are rarely made based on these and other indices. Recently described molecular abnormalities in follicular lymphoma include those involving epigenetic regulation, cell-surface receptor signaling, and those controlling the interactions of the follicular lymphoma cell with the microenvironment. Clinicogenetic indices, such as the m7-FLIPI, take into account molecular information and provide a more accurate prognostic prediction than clinical indices. Significant advances have been made in the development of predictive models of risk in follicular lymphoma, in particular with the incorporation of genetic information to predict risk. New models are capable of identifying groups of patients at highest risk of progression. However, it is not yet possible to predict the specific clinical course of a particular patient based on baseline factors. Continued research is needed to identify patients at highest risk of failing initial therapy and the therapeutic approaches to improve their outcomes.

Indexed as

Epigenesis, GeneticAntineoplastic Combined Chemotherapy ProtocolsDisease ProgressionHumansLymphoma, FollicularPrognosisTumor BurdenTumor MicroenvironmentFollicular lymphomaPrognostic indices

Identifiers

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.