Evidence map›Paper›PMID 25045606›Full record

ArticleSpringerPlus2014

Computerized database management system for breast cancer patients.

Kok Swee Sim, Sze Siang Chong, Chih Ping Tso, Mohsen Esmaeili Nia, Aun Kee Chong, Siti Fathimah Abbas

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in SpringerPlus, 2014. 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. 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

6 authors.

Kok Swee SimFaculty of Engineering and Technology, Multimedia University, Jalan Ayer, Keroh Lama, 75450 Melaka Malaysia.
Sze Siang ChongFaculty of Engineering and Technology, Multimedia University, Jalan Ayer, Keroh Lama, 75450 Melaka Malaysia.
Chih Ping TsoFaculty of Engineering and Technology, Multimedia University, Jalan Ayer, Keroh Lama, 75450 Melaka Malaysia.
Mohsen Esmaeili NiaFaculty of Engineering and Technology, Multimedia University, Jalan Ayer, Keroh Lama, 75450 Melaka Malaysia.
Aun Kee ChongMelaka General Hospital, Jalan Peringgit, 75990 Malacca Malaysia.
Siti Fathimah AbbasMelaka General Hospital, Jalan Peringgit, 75990 Malacca Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Data analysis based on breast cancer risk factors such as age, race, breastfeeding, hormone replacement therapy, family history, and obesity was conducted on breast cancer patients using a new enhanced computerized database management system. My Structural Query Language (MySQL) is selected as the application for database management system to store the patient data collected from hospitals in Malaysia. An automatic calculation tool is embedded in this system to assist the data analysis. The results are plotted automatically and a user-friendly graphical user interface is developed that can control the MySQL database. Case studies show breast cancer incidence rate is highest among Malay women, followed by Chinese and Indian. The peak age for breast cancer incidence is from 50 to 59 years old. Results suggest that the chance of developing breast cancer is increased in older women, and reduced with breastfeeding practice. The weight status might affect the breast cancer risk differently. Additional studies are needed to confirm these findings.

Indexed as

Breast cancer patientsComputerized databaseHospital management system

Identifiers

PMID25045606
PMCPMC4082536

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.