Evidence map›Paper›PMID 27195273›Full record

ReviewAnnals of translational medicine2016

2016 reflections on the favorable cost-benefit of lung cancer screening.

Bruce Pyenson, Gabriela Dieguez

Abstract readReview
In one paragraph

Review in Annals of translational medicine, 2016. 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. Review
  2. Review
  3. Article
  4. 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

2 authors.

Bruce PyensonMilliman Inc., One Pennsylvania Plaza, New York, USA.
Gabriela DieguezMilliman Inc., One Pennsylvania Plaza, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article gives a basic background on the confusing and often politicized topic of cost-benefit analysis in healthcare, using lung cancer screening as a case study. The authors are actuaries who work with the insurance industry, where real-world data is used to produce audited financial figures; other disciplines which work with cost-benefit analysis include those academic disciplines where randomized controlled trials may be perceived as the gold standard of evidence. In recent years, the finance and academic sectors of healthcare have begun to converge, as academic disciplines have come to increasingly appreciate real-world data, and insurers increasingly appreciate classical evidence-based medicine. Nevertheless, the variation of results in cost-benefit analyses for particular treatments can be bewildering to medical experts unfamiliar with real-world healthcare financing.

Indexed as

actuarialCost-benefitcost-effectivenesshealth economicslung cancer screening

Identifiers

PMID27195273
PMCPMC4860478

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.