Evidence map›Paper›PMID 35345368›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2022

Colorectal Cancer Mortality in Kazakhstan: Spatio-Temporal Epidemiological Assessment.

Dana Mauyenova, Askhat Axarin, Zhansaya Telmanova, Aida Baibusunova, Zarina Bilyalova, Gulnur Igissinova, Zhanar Bukeyeva, Akmaral Zhantureyeva, Zhanar Kozhakhmetova, Yerlan Kuandykov and 6 more

Abstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2022. 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. Article
  2. Article
  3. Article
  4. Assessment of Quality of Life in Patients with Colorectal Cancer in Kazakhstan.Asian Pacific journal of cancer prevention : APJCP · 2023
    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

16 authors.

Dana MauyenovaAstana Medical University, Nur-Sultan, Kazakhstan.ORCID 0000-0001-7160-5531
Askhat AxarinAstana Medical University, Nur-Sultan, Kazakhstan.ORCID 0000-0001-8893-2432
Zhansaya TelmanovaAstana Medical University, Nur-Sultan, Kazakhstan.ORCID 0000-0002-2364-6520
Aida BaibusunovaAstana Medical University, Nur-Sultan, Kazakhstan.ORCID 0000-0002-4460-0476
Zarina BilyalovaAstana Medical University, Nur-Sultan, Kazakhstan.ORCID 0000-0002-0066-235X
Gulnur IgissinovaCentral Asian Cancer Institute, Nur-Sultan, Kazakhstan.ORCID 0000-0001-6881-2257
Zhanar BukeyevaAstana Medical University, Nur-Sultan, Kazakhstan.ORCID 0000-0003-2318-0625
Akmaral ZhantureyevaAstana Medical University, Nur-Sultan, Kazakhstan.ORCID 0000-0003-4166-544X
Zhanar KozhakhmetovaAstana Medical University, Nur-Sultan, Kazakhstan.ORCID 0000-0002-7255-0955
Yerlan KuandykovCentral Asian Cancer Institute, Nur-Sultan, Kazakhstan.ORCID 0000-0002-7966-1471
Gaukhar NurtazinovaAstana Medical University, Nur-Sultan, Kazakhstan.ORCID 0000-0001-7314-0758
Serikbay OrazbayevAstana Medical University, Nur-Sultan, Kazakhstan.ORCID 0000-0003-3895-0426
Saken KozhakhmetovAstana Medical University, Nur-Sultan, Kazakhstan.ORCID 0000-0002-0075-0376
Indira KudaibergenovaEurasian Institute for Cancer Research Public Association, Bishkek, Kyrgyzstan.ORCID 0000-0003-3007-8127
Alireza Mosavi JarrahiEpidemiology Dept of Social Medicine, Medical School, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID 0000-0001-8043-9221
Nurbek IgissinovAstana Medical University, Nur-Sultan, Kazakhstan.ORCID 0000-0002-2517-6315

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim is to study the trends in colorectal cancer (CRC) mortality in Kazakhstan.

methodsThe retrospective study was done using descriptive and analytical methods of oncoepidemiology. The extensive, crude and age-specific mortality rates are determined according to the generally accepted methodology used in sanitary statistics.

resultsCRC mortality in Kazakhstan is considered to be increasing. Therefore, this study (for the period 2009-2018) was undertaken to retrospectively evaluate data across the country available from the central registration bureau. Age standardized data for mortality was generated and compared across age groups. It was determined that during the studied period 15,200 died of this pathology. During the studied years an average age of the dead made 69.8 years (95%CI=69.5-70.0). The average annual standardized mortality rate was 10.2 per 100,000, and in dynamics tended to decrease. Peak of mortality was noted in aged 60-84 years. Trends in age-related mortality rates had a pronounced tendency to increase in 30-34 years (T=+11.7%, R2=0.7980) and to decrease in 75-79 years (T=-16.4%, R2=0.8881). In many regions, there is a decrease in the number of deaths. During the compilation of cartograms, mortality rates were determined on the basis of standardized indicators: low - up to 8.9, average - from 8.9 to 11.5, high - above 11.5 per 100,000 for the entire population. In addition, all calculations were made taking into account age-sex differences.

conclusionTrends in mortality from CRC in recent years have decreased from 11.2 to 7.7 per 100,000 of the total population, while the trend is stable (T=-3.6%, R2=0.8745). The study of regional mortality has theoretical and practical significance: monitoring and evaluation of the effectiveness of early detection and treatment of detected pathology. Health authorities should take into account the results obtained when organizing anti-cancer measures.

Indexed as

Colorectal NeoplasmsAdultAgedAged, 80 and overFemaleHumansKazakhstanMaleMiddle AgedRetrospective Studiesage dependencecolorectal cancerKazakhstanmortalityTrends

Identifiers

PMID35345368
PMCPMC9360941

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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.