Evidence map›Paper›PMID 21745172›Full record

ArticleLeukemia & lymphoma2011

Economic impact of disease progression in follicular non-Hodgkin lymphoma.

Roy Beveridge, Sacha Satram-Hoang, Kavita Sail, Joseph Darragh, Clara Chen, Michael Forsyth, Carolina Reyes

Open access · bronzeAbstract read
In one paragraph

Article in Leukemia & lymphoma, 2011. 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
0.4field-weighted citation impact, top 34% 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, 16 citations in OpenAlex.

  1. Observational
  2. Article
  3. Review
  4. Article
  5. Article
  6. A Generic Model for Follicular Lymphoma: Predicting Cost, Life Expectancy, and Quality-Adjusted-Life-Year Using UK Population-Based Observational Data.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2018
    Observational
  7. Article
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

7 authors at 1 institution in 1 country.

Roy BeveridgeHealthcare Informatics, US Oncology, Houston, TX 77380, USA. roy.beveridge@usoncology.com
Sacha Satram-Hoang
Kavita Sail
Joseph Darragh
Clara Chen
Michael Forsyth
Carolina Reyes
The US Oncology Network · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using a retrospective claims database, we estimated the economic costs of progression among patients with follicular non-Hodgkin lymphoma (f-NHL) treated in an outpatient community-based setting. Patients with f-NHL who received care between 1 July 2006 and 31 December 2009 were categorized into two cohorts based on whether they experienced progressive disease (PD) or not. Costs per patient per month (PPPM) were compared between patients with PD versus non-PD. Follow-up time was censored at the last entry for disease status or 6 months after the date of remission/stable disease or progression. Of the 1002 patients with f-NHL identified, 268 progressed and 734 did not. The mean overall costs PPPM over the 6-month follow-up period were significantly higher for patients with PD versus non-PD ($3527 vs. $860; difference = $2667; p < 0.001). This cost difference persisted within all resource categories evaluated. Results of this study indicate that therapies which delay progression for patients with f-NHL may result in potential cost savings.

Indexed as

AdultAgedAged, 80 and overAntibodies, Monoclonal, Murine-DerivedAntineoplastic Combined Chemotherapy ProtocolsCost-Benefit AnalysisDisease ProgressionFemaleFollow-Up StudiesHealth Care CostsHumansLymphoma, FollicularLymphoma, Non-HodgkinMaleMiddle AgedMultivariate AnalysisAntibodies, Monoclonal, Murine-DerivedRituximab

Identifiers

PMID21745172
PMCPMC3211193
OpenAlexW2116092078

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.