Evidence map›Paper›PMID 25972043›Full record

ArticleBMC cancer2015

Opportunistic mammography screening provides effective detection rates in a limited resource healthcare system.

Yew-Ching Teh, Gie-Hooi Tan, Nur Aishah Taib, Kartini Rahmat, Caroline Judy Westerhout, Farhana Fadzli, Mee-Hoong See, Suniza Jamaris, Cheng-Har Yip

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 9% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Breast cancer screening in developing countries.Clinics (Sao Paulo, Brazil) · 2017
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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

9 authors at 2 institutions in 1 country.

Yew-Ching TehGleneagles Medical Centre, Penang, Malaysia. ycteh11@gmail.com.
Gie-Hooi TanDepartment of Surgery, University Malaya Medical Centre, Kuala Lumpur, Malaysia. giehooi@yahoo.com.
Nur Aishah TaibDepartment of Surgery, University Malaya Medical Centre, Kuala Lumpur, Malaysia. nuraish@gmail.com.
Kartini RahmatDepartment of Biomedical Imaging, University Malaya Medical Centre, Kuala Lumpur, Malaysia. katt_xr2000@yahoo.com.
Caroline Judy WesterhoutDepartment of Biomedical Imaging, University Malaya Medical Centre, Kuala Lumpur, Malaysia. westcj@ummc.edu.my.
Farhana FadzliDepartment of Biomedical Imaging, University Malaya Medical Centre, Kuala Lumpur, Malaysia. farhana.fadzli@yahoo.com.
Mee-Hoong SeeDepartment of Surgery, University Malaya Medical Centre, Kuala Lumpur, Malaysia. smhoong76@gmail.com.
Suniza JamarisDepartment of Surgery, University Malaya Medical Centre, Kuala Lumpur, Malaysia. ahshun82@gmail.com.
Cheng-Har YipDepartment of Surgery, University Malaya Medical Centre, Kuala Lumpur, Malaysia. chenghar.yip@gmail.com.
University Malaya Medical Centre · MYRCSI & UCD Malaysia Campus · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer is the leading cause of cancer deaths in women world-wide. In low and middle income countries, where there are no population-based mammographic screening programmes, late presentation is common, and because of inadequate access to optimal treatment, survival rates are poor. Mammographic screening is well-studied in high-income countries in western populations, and because it has been shown to reduce breast cancer mortality, it has become part of the healthcare systems in such countries. However the performance of mammographic screening in a developing country is largely unknown. This study aims to evaluate the performance of mammographic screening in Malaysia, a middle income country, and to compare the stage and surgical treatment of screen-detected and symptomatic breast cancer.

methodsA retrospective review of 2510 mammograms performed from Jan to Dec 2010 in a tertiary medical centre is carried out. The three groups identified are the routine (opportunistic) screening group, the targeted (high risk) screening group and the diagnostic group. The performance indicators of each group is calculated, and stage at presentation and treatment between the screening and diagnostic group is analyzed.

resultsThe cancer detection rate in the opportunistic screening group, targeted screening group, and the symptomatic group is 0.5 %, 1.25 % and 26 % respectively. The proportion of ductal carcinoma in situ is 23.1 % in the two screening groups compared to only 2.5 % in the diagnostic group. Among the opportunistic screening group, the cancer detection rate was 0.2 % in women below 50 years old compared to 0.65 % in women 50 years and above. The performance indicators are within international standards. Early-staged breast cancer (Stage 0-2) were 84.6 % in the screening groups compared to 61.1 % in the diagnostic group.

conclusionFrom the results, in a setting with resource constraints, targeted screening of high risk individuals will give a higher yield, and if more resources are available, population-based screening of women 50 and above is effective. Opportunistic mammographic screening is feasible and effective in a middle income country with performance indicators within international standards. Waiting until women are symptomatic will lead to more advanced cancers.

Indexed as

Delivery of Health CareEarly Detection of CancerHealth ResourcesMammographyMass ScreeningAdultAgedBiopsyBreast NeoplasmsFemaleHumansMalaysiaMammary Glands, HumanMiddle AgedNeoplasm StagingRetrospective Studies

Identifiers

PMID25972043
PMCPMC4437679
OpenAlexW2121908374

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.