Evidence map›Paper›PMID 27276093›Full record

ArticlePloS one2016

Cost-Effectiveness of Different Cervical Screening Strategies in Islamic Republic of Iran: A Middle-Income Country with a Low Incidence Rate of Cervical Cancer.

Azin Nahvijou, Rajabali Daroudi, Mamak Tahmasebi, Farnaz Amouzegar Hashemi, Mohsen Rezaei Hemami, Ali Akbari Sari, Ahmad Barati Marenani, Kazem Zendehdel

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 pooled it
2.4field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 3 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. QALY league table of Iran: a practical method for better resource allocation.Cost effectiveness and resource allocation : C/E · 2021
    Review
  10. Article
  11. The Relationship between Health Locus of Control and Iranian Women's Beliefs toward Pap Smear Screening.International journal of community based nursing and midwifery · 2019
    Article
  12. Article
  13. Assessment of Preventive Behavior for Cervical Cancer with the Health Belief ModelAsian Pacific journal of cancer prevention : APJCP · 2018
    Article
  14. Article
  15. 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

8 authors at 4 institutions in 2 countries.

Azin NahvijouCancer Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, I. R. Iran.
Rajabali DaroudiDepartment of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, I. R. Iran.
Mamak TahmasebiCancer Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, I. R. Iran.
Farnaz Amouzegar HashemiCancer Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, I. R. Iran.
Mohsen Rezaei HemamiInstitute of Health & Wellbeing Health Economics & Health Technology Assessment University of Glasgow, Scotland, United Kingdom.
Ali Akbari SariDepartment of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, I. R. Iran.
Ahmad Barati MarenaniDepartment of Health Services Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, I. R. Iran.
Kazem ZendehdelCancer Model Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, I. R. Iran.
Tehran University of Medical Sciences · IRIran University of Medical Sciences · IRMotamed Cancer Institute · IRUniversity of Glasgow · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveInvasive cervical cancer (ICC) is the fourth most common cancer among women worldwide. Cervical screening programs have reduced the incidence and mortality rates of ICC. We studied the cost-effectiveness of different cervical screening strategies in the Islamic Republic of Iran, a Muslim country with a low incidence rate of ICC.

methodsWe constructed an 11-state Markov model, in which the parameters included regression and progression probabilities, test characteristics, costs, and utilities; these were extracted from primary data and the literature. Our strategies included Pap smear screening and human papillomavirus (HPV) DNA testing plus Pap smear triaging with different starting ages and screening intervals. Model outcomes included lifetime costs, life years gained, quality-adjusted life years (QALY), and incremental cost-effectiveness ratios (ICERs). One-way sensitivity analysis was performed to examine the stability of the results.

resultsWe found that the prevented mortalities for the 11 strategies compared with no screening varied from 26% to 64%. The most cost-effective strategy was HPV screening, starting at age 35 years and repeated every 10 years. The ICER of this strategy was $8,875 per QALY compared with no screening. We found that screening at 5-year intervals was also cost-effective based on GDP per capita in Iran.

conclusionWe recommend organized cervical screening with HPV DNA testing for women in Iran, beginning at age 35 and repeated every 10 or 5 years. The results of this study could be generalized to other countries with low incidence rates of cervical cancer.

Indexed as

Models, EconomicUterine Cervical NeoplasmsAdultAgedAged, 80 and overCosts and Cost AnalysisFemaleHumansIncidenceIranMass ScreeningMiddle AgedPapanicolaou Test

Identifiers

PMID27276093
PMCPMC4898767
OpenAlexW2413774042

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.