Evidence map›Paper›PMID 16901397›Full record

ReviewCurrent oncology reports2006

Clinical and molecular prognostic factors in follicular lymphoma.

Andrew J Davies

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current oncology reports, 2006. 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

1 author.

Andrew J DaviesDepartment of Medical Oncology, St Bartholomew's Hospital, West Smithfield, London, UK. Andrew.J.Davies@cancer.org.uk

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The observed variability in the clinical course of follicular lymphoma (FL), along with the diverse range of therapeutic options available, necessitates accurate prognostic stratification of the individual patient. A number of clinical, laboratory, and pathologic parameters have been associated with both good and poor risk disease; in some instances these have been incorporated into readily calculable prognostic indices. With new insights into disease biology and the resulting identification of biomarkers that have arisen from the analysis of both the genome and the transcriptome, more accurate individualization of prognosis will be realized. At present the clinical application of such biomarkers, however, remains largely in its infancy. This review examines the clinical and molecular prognostic features that have been identified as of value in FL.

Indexed as

Biomarkers, TumorHumansLymphoma, FollicularPrognosisBiomarkers, Tumor

Identifiers

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.