Scientometric Analysis of Articles on Spatial Epidemiology of Cancer in Iran : A Systematic Review
Copyright: © Iranian Journal of Medical Sciences..
Background: Geographic information system (GIS) plays an important role in identifying areas with a high incidence of cancer. In the present study, based on a systematic review of studies by Iranian researchers, we performed a scientometric analysis of the published articles on the spatial epidemiology of cancer. In addition, the geographical distribution of certain types of cancer in Iran is presented.
Methods: A literature search was conducted using electronic databases such as PubMed and NLM Gateway, Institute for Scientific Information, Scopus, Google Scholar, and Cochrane Library for relevant articles published from 2000 to 2021. The search was performed using a combination of medical subject heading terms and keywords. A narrative synthesis was performed, and descriptive data were expressed as frequency and percentage.
Results: Of the 200 identified articles, 31 studies published in 15 different journals were included in this systematic review. Results showed a wide variation in high-risk breast cancer clusters. However, a similar incidence of gastrointestinal cancers has been reported, and high-risk clusters were identified in the north and the northwest of Iran. Skin cancer and acute lymphoblastic leukemia were more prevalent in the central provinces.
Conclusion: The current volume of studies on the spatial epidemiology of cancer in Iran, with a CiteScore quartile of Q1, is inadequate to guide health policymakers. The geographical distribution of many prevalent types of cancer has not been assessed by Iranian researchers. Furthermore, the classification of high- and low-risk geographical clusters of cancers was not completely homogeneous.
Medienart: |
E-Artikel |
---|
Erscheinungsjahr: |
2023 |
---|---|
Erschienen: |
2023 |
Enthalten in: |
Zur Gesamtaufnahme - volume:48 |
---|---|
Enthalten in: |
Iranian journal of medical sciences - 48(2023), 3 vom: 01. Mai, Seite 232-242 |
Sprache: |
Englisch |
---|
Beteiligte Personen: |
Danaei, Mina [VerfasserIn] |
---|
Links: |
---|
Themen: |
Disease hotspot |
---|
Anmerkungen: |
Date Completed 02.11.2023 Date Revised 02.11.2023 published: Print Citation Status MEDLINE |
---|
doi: |
10.30476/IJMS.2022.93320.2463 |
---|
funding: |
|
---|---|
Förderinstitution / Projekttitel: |
|
PPN (Katalog-ID): |
NLM362850860 |
---|
LEADER | 01000naa a22002652 4500 | ||
---|---|---|---|
001 | NLM362850860 | ||
003 | DE-627 | ||
005 | 20231226092113.0 | ||
007 | cr uuu---uuuuu | ||
008 | 231226s2023 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.30476/IJMS.2022.93320.2463 |2 doi | |
028 | 5 | 2 | |a pubmed24n1209.xml |
035 | |a (DE-627)NLM362850860 | ||
035 | |a (NLM)37791327 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Danaei, Mina |e verfasserin |4 aut | |
245 | 1 | 0 | |a Scientometric Analysis of Articles on Spatial Epidemiology of Cancer in Iran |b A Systematic Review |
264 | 1 | |c 2023 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a ƒaComputermedien |b c |2 rdamedia | ||
338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Date Completed 02.11.2023 | ||
500 | |a Date Revised 02.11.2023 | ||
500 | |a published: Print | ||
500 | |a Citation Status MEDLINE | ||
520 | |a Copyright: © Iranian Journal of Medical Sciences. | ||
520 | |a Background: Geographic information system (GIS) plays an important role in identifying areas with a high incidence of cancer. In the present study, based on a systematic review of studies by Iranian researchers, we performed a scientometric analysis of the published articles on the spatial epidemiology of cancer. In addition, the geographical distribution of certain types of cancer in Iran is presented | ||
520 | |a Methods: A literature search was conducted using electronic databases such as PubMed and NLM Gateway, Institute for Scientific Information, Scopus, Google Scholar, and Cochrane Library for relevant articles published from 2000 to 2021. The search was performed using a combination of medical subject heading terms and keywords. A narrative synthesis was performed, and descriptive data were expressed as frequency and percentage | ||
520 | |a Results: Of the 200 identified articles, 31 studies published in 15 different journals were included in this systematic review. Results showed a wide variation in high-risk breast cancer clusters. However, a similar incidence of gastrointestinal cancers has been reported, and high-risk clusters were identified in the north and the northwest of Iran. Skin cancer and acute lymphoblastic leukemia were more prevalent in the central provinces | ||
520 | |a Conclusion: The current volume of studies on the spatial epidemiology of cancer in Iran, with a CiteScore quartile of Q1, is inadequate to guide health policymakers. The geographical distribution of many prevalent types of cancer has not been assessed by Iranian researchers. Furthermore, the classification of high- and low-risk geographical clusters of cancers was not completely homogeneous | ||
650 | 4 | |a Systematic Review | |
650 | 4 | |a Journal Article | |
650 | 4 | |a Review | |
650 | 4 | |a Disease hotspot | |
650 | 4 | |a Geographic information systems | |
650 | 4 | |a Iran | |
650 | 4 | |a Neoplasms | |
650 | 4 | |a Spatial analysis | |
700 | 1 | |a Haghdoost, AliAkbar |e verfasserin |4 aut | |
700 | 1 | |a Safizadeh, Hossein |e verfasserin |4 aut | |
700 | 1 | |a Malekpourafshar, Reza |e verfasserin |4 aut | |
700 | 1 | |a Moradi Baniasad, Ramin |e verfasserin |4 aut | |
700 | 1 | |a Momeni, Mohsen |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Iranian journal of medical sciences |d 1993 |g 48(2023), 3 vom: 01. Mai, Seite 232-242 |w (DE-627)NLM080795250 |x 1735-3688 |7 nnns |
773 | 1 | 8 | |g volume:48 |g year:2023 |g number:3 |g day:01 |g month:05 |g pages:232-242 |
856 | 4 | 0 | |u http://dx.doi.org/10.30476/IJMS.2022.93320.2463 |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a GBV_NLM | ||
951 | |a AR | ||
952 | |d 48 |j 2023 |e 3 |b 01 |c 05 |h 232-242 |