Evidence map›Paper›PMID 28125374›Full record

ArticleJournal of managed care & specialty pharmacy2017

The Value of Survival Gains in Pancreatic Cancer from Novel Treatment Regimens.

Joanna P MacEwan, Wes Yin, Satyin Kaura, Zeba M Khan

Open access · bronzeAbstract read
In one paragraph

Article in Journal of managed care & specialty pharmacy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. 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

4 authors at 1 institution in 1 country.

Joanna P MacEwan1 Precision Health Economics, Los Angeles, California.
Wes Yin2 University of California, Los Angeles.
Satyin Kaura3 Celgene, Summit, New Jersey.
Zeba M Khan3 Celgene, Summit, New Jersey.
University of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetastatic pancreatic cancer (mPC) is associated with low survival, with less than 10% of patients surviving 5 years. Recent therapies improve survival outcomes where few alternative therapies exist, but few economic analyses measure the value of survival gains attributable to new therapies.

objectiveTo estimate the value of survival gains in advanced or mPC attributable to the introduction of novel treatment regimens.

methodsMultivariate Cox proportional hazards models were used to estimate real-world survival gains associated with the introduction of gemcitabine (GEM) for patients diagnosed with stage IV or unstaged mPC in the Surveillance, Epidemiology, and End Results Program cancer registries. Then, evidence from clinical trials was used to evaluate the survival gains associated with nab-paclitaxel + gemcitabine (nP +GEM) and FOLFIRINOX (FFX) relative to GEM. The survival estimates and clinical trial evidence were used to calibrate an economic model and assess the cumulative value of survival gains in mPC to patients. Costs of treatment were calculated based on published cost-effectiveness studies.

resultsWe estimated that the introduction of GEM in 1996 was associated with a hazard ratio of 0.920 (P < 0.05) and an increase in median survival from 3.1 to 4.5 months. Results suggested that the value of survival gains attributable to GEM equaled about $71,000 per patient, while the value attributable to nP + GEM was an additional $56,700. Estimates for the value of survival gains per patient, net of total incremental lifetime treatment costs (drugs, adverse events, and other costs), were $50,294 for GEM and an additional $31,900 for nP + GEM. Clinical trials and cost-effectiveness studies reported an overall survival gain from FFX that was larger than, but statistically similar to, nP + GEM and had greater risk of adverse events and total incremental costs. We estimated that the total value of survival gains to mPC patients, net of total costs, associated with GEM was up to $47.6 billion, and the additional values attributable to nP+GEM and FFX were up to $39.0 billion and $26.3 billion, respectively.

conclusionsHistorically, mPC patients have faced high disease burden and had few treatment options. Treatments introduced since 1996 have led to improved survival, with varying costs associated with treatment and adverse events. Accounting for total incremental costs, the majority of the value of survival gains from GEM and nP+GEM was retained by mPC patients, highlighting the value of innovation in settings where survival is low and few alternative therapies exist. DISCLOSURES: Support for this research was provided by Celgene. Precision Health Economics was compensated by Celgene for work on this study. MacEwan is an employee of, and Yin is a consultant to, Precision Health Economics. Kaura and Khan are employees of Celgene. Study concept and design were contributed primarily by Yin and MacEwan, along with Kaura and Khan. MacEwan collected the data, and data interpretation was performed primarily by MacEwan and Yin, along with Kaura and Khan. The manuscript was written and revised by MacEwan, Yin, Kaura, and Khan.

Indexed as

AgedAlbuminsAntineoplastic Combined Chemotherapy ProtocolsCost-Benefit AnalysisDeoxycytidineFemaleFluorouracilGemcitabineHumansLeucovorinMaleOrganoplatinum CompoundsPaclitaxelPancreatic NeoplasmsSurvival Analysis130-nm albumin-bound paclitaxelAlbuminsDeoxycytidineFluorouracilGemcitabineLeucovorinOrganoplatinum CompoundsPaclitaxel

Identifiers

PMID28125374
PMCPMC10397917
OpenAlexW2580965432

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.