Evidence map›Paper›PMID 17291344›Full record

ArticleBMC bioinformatics2007

PASSIM--an open source software system for managing information in biomedical studies.

Juris Viksna, Edgars Celms, Martins Opmanis, Karlis Podnieks, Peteris Rucevskis, Andris Zarins, Amy Barrett, Sudeshna Guha Neogi, Maria Krestyaninova, Mark I McCarthy and 2 more

Abstract read
In one paragraph

Article in BMC bioinformatics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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

12 authors.

Juris ViksnaInstitute of Mathematics and Computer Science, Riga, University of Latvia, Latvia. jviksna@mii.lu.lv <jviksna@mii.lu.lv>
Edgars Celms
Martins Opmanis
Karlis Podnieks
Peteris Rucevskis
Andris Zarins
Amy Barrett
Sudeshna Guha Neogi
Maria Krestyaninova
Mark I McCarthy
Alvis Brazma
Ugis Sarkans

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne of the crucial aspects of day-to-day laboratory information management is collection, storage and retrieval of information about research subjects and biomedical samples. An efficient link between sample data and experiment results is absolutely imperative for a successful outcome of a biomedical study. Currently available software solutions are largely limited to large-scale, expensive commercial Laboratory Information Management Systems (LIMS). Acquiring such LIMS indeed can bring laboratory information management to a higher level, but often implies sufficient investment of time, effort and funds, which are not always available. There is a clear need for lightweight open source systems for patient and sample information management.

resultsWe present a web-based tool for submission, management and retrieval of sample and research subject data. The system secures confidentiality by separating anonymized sample information from individuals' records. It is simple and generic, and can be customised for various biomedical studies. Information can be both entered and accessed using the same web interface. User groups and their privileges can be defined. The system is open-source and is supplied with an on-line tutorial and necessary documentation. It has proven to be successful in a large international collaborative project.

conclusionThe presented system closes the gap between the need and the availability of lightweight software solutions for managing information in biomedical studies involving human research subjects.

Indexed as

Database Management SystemsDatabases, FactualMedical Records Systems, ComputerizedSoftwareUser-Computer InterfaceArtificial IntelligenceBiomedical EngineeringBiomedical ResearchClinical Trials as TopicInformation Storage and RetrievalProgramming Languages

Identifiers

PMID17291344
PMCPMC1803798

What OpenQuestion holds

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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.