Evidence map›Paper›PMID 37120578›Full record

ReviewSystematic reviews2023

The use of text-mining software to facilitate screening of literature on centredness in health care.

Emma Forsgren, Sara Wallström, Caroline Feldthusen, Niklas Zechner, Richard Sawatzky, Joakim Öhlén

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Systematic reviews, 2023. 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. Review
  2. Review
  3. Article
  4. Review
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.

Emma ForsgrenInstitute of Health and Care Sciences, Sahlgrenska Academy, University of Gothenburg, Box 457, SE-405 30, Gothenburg, Sweden. emma.forsgren@gu.se.ORCID 0000-0002-2402-0909
Sara WallströmInstitute of Health and Care Sciences, Sahlgrenska Academy, University of Gothenburg, Box 457, SE-405 30, Gothenburg, Sweden.
Caroline FeldthusenInstitute of Health and Care Sciences, Sahlgrenska Academy, University of Gothenburg, Box 457, SE-405 30, Gothenburg, Sweden.
Niklas ZechnerDepartment of Swedish, Multilingualism, Language Technology, University of Gothenburg, Gothenburg, Sweden.
Richard SawatzkyInstitute of Health and Care Sciences, Sahlgrenska Academy, University of Gothenburg, Box 457, SE-405 30, Gothenburg, Sweden.
Joakim ÖhlénInstitute of Health and Care Sciences, Sahlgrenska Academy, University of Gothenburg, Box 457, SE-405 30, Gothenburg, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research evidence supporting the implementation of centredness in health care is not easily accessible due to the sheer amount of literature available and the diversity in terminology and conceptualisations used. The use of text-mining functions to semi-automate the process of screening and collating citations for a review is a way of tackling the vast amount of research citations available today. There are several programmes that use text-mining functions to facilitate screening and data extraction for systematic reviews. However, the suitability of these programmes for reviews on broad topics of research, as well as the general uptake by researchers, is unclear. This commentary has a dual aim, which consists in outlining the challenges of screening literature in fields characterised by vague and overlapping conceptualisations, and to exemplify this by exploratory use of text-mining in the context of a scoping review on centredness in health care.

Indexed as

Data MiningSoftwareDelivery of Health CareHealth FacilitiesHumansPatient-Centered CareSystematic Reviews as TopicEPPI-reviewerLiterature review as topicPatient-centered carePerson-centred careScoping reviewSystematic reviewText-mining

Identifiers

PMID37120578
PMCPMC10148558

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.