Evidence map›Paper›PMID 10146872›Full record

ReviewPharmacoEconomics1993

Economic implications of smoking cessation therapies: a review of economic appraisals.

D R Cohen, G H Fowler

Abstract readReview
PubMed Publisher
In one paragraph

Review in PharmacoEconomics, 1993. 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
0.2field-weighted citation impact, top 54% 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

4 citing papers in PubMed, 23 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. A review of economic evaluations of tobacco control programs.International journal of environmental research and public health · 2009
    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 at 2 institutions in 1 country.

D R CohenUniversity of Glamorgan, Wales.
G H Fowler
University of Oxford · GBUniversity of South Wales · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a paucity of studies on the economics of smoking cessation. Those undertaken have investigated only a narrow range of available interventions, using variable methodologies which make interstudy comparisons problematical. There is a need for more economic appraisal in this area and for greater consistency in the methodologies employed. Growing evidence on the effectiveness of pharmacotherapies has not been matched by evidence of their cost effectiveness, and studies in this area, particularly on transdermal nicotine, are urgently required. Cost-benefit analyses (CBAs) have focused on programmes targeted at pregnant women and indicate that resource savings, mainly from reductions in the number of low birthweight neonates, can exceed the costs of the measures. Efforts to persuade pregnant women to quit thus appear to be highly cost beneficial, but further evidence on the efficiency of measures targeted at other groups or to the general population of smokers is required. Cost-effectiveness analyses (CEAs) suggest that measures targeted at specific groups are more cost effective than those targeted at the general population of smokers, and that the cost effectiveness of such programmes is further improved by providing educational materials that are specific to the targeted groups. Advice on how to maintain abstinence appears to improve the cost effectiveness of help with quitting, and routine advice from physicians to their smoking patients is a cost-effective way of reducing smoking prevalence.

Indexed as

Economics, PharmaceuticalCost-Benefit AnalysisHumansResearch DesignSmoking Cessation

Identifiers

PMID10146872
OpenAlexW101916800

What OpenQuestion holds

Texttitle and abstract
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.