PubMedissa on nyt yli 25 miljoonaa viitettä – Miten löydät niiden joukosta ne joita tarvitset? / PubMed now has more than 25 million citations – How to find among them the ones you need?

PubMed-tietokantaan tallennettiin 16.6.2015 kahdeskymmenesviidesmiljoonas viite. Haku yhdellä tai kahdella hakusanalla tuottaa valtavasta tietokannasta niin suuren määrän viitteitä, että täsmälliseen tiedontarpeeseen sopivan löytäminen vie paljon aikaa. Miten hakutulosta saisi toisaalta osuvammaksi mutta myös kattavammaksi?

Näillä keinoilla

  • Haun suunnittelu
    • Aihetta kuvaavat käsitteet ja niitä vastaavat hakusanat
  • Boolen logiikka
    • Videossa ei haeta PubMedistä, mutta sama logiikka toimii kaikissa tietokannoissa
    • Hakulauseella ”pulmonary tuberculosis” AND (treatment OR therapy) saa täsmällisemmän tuloksen kuin haulla tuberculosis treatment
  • MeSH-termit
    • Videossa haetaan influenssarokotteiden mahdollisia haittavaikutuksia kananmuna-allergikoille
    • edellisestä aiheesta hakulause MeSH-termein voisi olla ”Tuberculosis, Pulmonary/therapy”[Mesh]
  • Rajaukset
    • PubMedin vasemman reunan rajausmahdollisuuksista osa on piilossa (klikkaa more) ja muutenkin rajausten tekeminen on monivaiheista
    • Kannattaa silti käyttää tilanteen mukaan esimerkiksi julkaisutyyppi-, julkaisuaika-, julkaisukieli- ja ikäryhmärajauksia
    • Video
    • Vältä rajausta Free full text. Se jättää hakutuloksesta pois kirjaston hankkimat ja maksamat lehdet.

 

On June 16, 2015, the 25 millionth journal citation was added to PubMed. Searching with one or two words retrieves such a huge amount of citations that it takes a long time to find the ones that answer your question. How to make the search result more accurate but also more comprehensive?

With these tools

  • Planning the search
    • The concepts that describe the topic and the terms for them
  • Boolean logic
    • Same logic of combing search terms in all databases
    • Using ”pulmonary tuberculosis” AND (treatment OR therapy) gives a more accurate set of results than tuberculosis treatment
  • MeSH terms
    • Video shows how to search if there are concerns with flu vaccines and egg allergy
    • About the topic above the search using MeSH could be ”Tuberculosis, Pulmonary/therapy”[Mesh]
  • Limits
    • Some of the Limit options in PubMed are hidden (click more to see them) and using the limits is sometimes complicated
    • Try anyway, depending on your topic, for example article types, publication dates, languages, and ages
    • Video
    • Avoid using the limit Free full text. It omits the journals the library has subscribed and paid for.

 

Tuulevi Ovaska
palvelupäällikkö, tietoasiantuntija
head of services, information specialist

Mainokset

MeSH on demand — työkalu sopivien asiasanojen löytämiseksi

MeSH on Demandin avulla on helppo löytää tietyn aiheen MeSH-termejä. MeSH on Demand -hakuun voi lisätä (kopioida) jopa 10000 merkkiä tekstiä, jonka ei tarvitse olla hakusanoja, vaan mitä tahansa tekstiä, vaikka artikkelin abstrakti.

Esimerkiksi artikkelin

Jääskeläinen P, Heliö T, Aalto-Setälä K, Kaartinen M, Ilveskoski E, Hämäläinen L, Melin J, Kärkkäinen S, Peuhkurinen K, Nieminen MS, Laakso M; the Finhcm Study Group, Kuusisto J. A new common mutation in the cardiac beta-myosin heavy chain gene in Finnish patients with hypertrophic cardiomyopathy. Ann Med. 2014 Jun 3:1-6.

abstraktista (joka siis kopioidaan ja liitetään hakuruutuun)

Background. In the nationwide FinHCM Study including 306 Finnish patients with hypertrophic cardiomyopathy (HCM), we have previously identified two founder mutations in the alpha-tropomyosin (TPM1-D175N) and myosin-binding protein C (MYBPC3-Q1061X) genes, accounting for 18% of all cases. Objective. To screen additional mutations, previously identified in eastern Finnish cohorts with HCM, in the FinHCM Study population. Patients and methods. Ten mutations in the beta-myosin heavy chain gene (MYH7), TPM1, and MYBPC3 were screened. Results. MYH7-R1053Q was found in 17 of 306 patients (5.6%). No carriers of MYH7-R719W or N696S were found. A novel TPM1-D175G mutation was found in a single patient. MYBPC3 mutations were found in 14 patients: IVS5-2A-C in two, IVS14-13G-A in two, K811del in six, and A851insT in four patients. Altogether, a HCM-causing mutation was identified in 32 patients, accounting for 10.5% of all cases. In addition, two MYBPC3 variants R326Q and V896M with uncertain pathogenicity were found in eight and in 10 patients, respectively. Conclusion. Combining the present findings with our previous results, a causative mutation was identified in 28% of the FinHCM cohort. MYH7-R1053Q was the third most common mutation, and should be screened in all new cases of HCM in Finland.

MeSH on Demand -työkalu poimii MeSH-termeiksi nämä:

    • Cardiomyopathy, Hypertrophic
    • Carrier Proteins
    • Female
    • Finland
    • Heterozygote
    • Humans
    • Male
    • Mutation
    • Myosin Heavy Chains
    • Tropomyosin
    • Ventricular Myosins
    • Virulence

Katso kuvat NML:n ohjeesta ja kokeile!

  • Ai, mitä niillä MeSH-termeillä sitten tehdään? Ne ovat asiasanoja, joita käytetään sisällönkuvailuun (indeksointiin) lääketieteen tietokannoissa, kuten MEDLINE ja MEDIC. Käyttämällä asiasanoja hakusanoina, voi saada täsmällisempiä, osuvampia tuloksia kuin omin, vapain sanoin. Katso video!

 

Tuulevi Ovaska, palvelupäällikkö (tietoasiantuntija)

Frequently asked questions 4 – How to import PubMed citations to RefWorks

Question:

It is quite simple;

  1. Click Send To and choose Citation Manager to create and save an nbib file.
  2. Import the nbib file to RefWorks using Filter/Data Source NLM PubMed.

Create file

Import

By: Tuulevi Ovaska, Head of Services, Kuopio University Hospital Medical Library, University of Eastern Finland Library

Frequently asked questions 1 – What is the difference between MEDLINE and PubMed?

Question:

  • What is the difference between MEDLINE and PubMed?

There is a fact sheet of NLM (National Library of Medicine, USA) called MEDLINE, PubMed, and PMC (PubMed Central): How are they different?  that explains the difference in detail.

Shortly:

MEDLINE is the National Library of Medicine (NLM) journal citation database.

MEDLINE database is searchable from NLM as a subset of the PubMed database but also other search services that license the data.

PubMed includes MEDLINE plus the following types of citations:

  • in-process citations (records for articles before quality control and indexing)
  • citations to articles that are out-of-scope ahead of print citations (preceding article’s final publication)
  • pre-1966 citations that have not yet been updated with current MeSH (Medical Subject Headings)
  • citations to some additional life sciences journals that submit full text to PubMed Central and receive a qualitative review by NLM
  • citations to manuscripts of articles published by NIH-funded researchers
  • citations for the majority of books available on the NCBI Bookshelf

If you want to search only MEDLINE in PubMed, use the Journal Categories filter MEDLINE.

pubmedlogo

By: Tuulevi Ovaska, Head of Services, Kuopio University Hospital Medical Library, University of Eastern Finland Library