Evidence map›Paper›PMID 36973729›Full record

SynthesisSystematic reviews2023

Delphi survey on the most promising areas and methods to improve systematic reviews' production and updating.

Mersiha Mahmić-Kaknjo, Vicko Tomić, Moriah E Ellen, Barbara Nussbaumer-Streit, Raluca Sfetcu, Eduard Baladia, Nicoletta Riva, Angelos P Kassianos, Ana Marušić

Full text readMeta-Analysis
In one paragraph

Synthesis 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, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Evidence-based research.Systematic reviews · 2024
    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

9 authors.

Mersiha Mahmić-KaknjoCantonal Hospital Zenica, Crkvice 67, 72000, Zenica, Bosnia and Herzegovina. mmahmickaknjo@gmail.com.ORCID 0000-0003-2738-8909
Vicko TomićST-OPEN, University of Split School of Medicine, Split, Croatia.
Moriah E EllenDepartment of Health Policy and Management, Guilford Glazer Faculty of Business and Management and Faculty of Health Sciences, Ben-Gurion University of the Negev, Beersheba, Israel.
Barbara Nussbaumer-StreitCochrane Austria, Danube University Krems, Krems a.d. Donau, Austria.
Raluca SfetcuDepartment of Psychology, Spiru Haret University, Bucharest, Romania.
Eduard BaladiaCentro de Análisis de la Evidencia Científica, Academia Española de Nutrición y Dietética, Pamplona, España.
Nicoletta RivaDepartment of Pathology, Faculty of Medicine and Surgery, University of Malta, Msida, Malta.
Angelos P KassianosDepartment of Applied Health Research, University College London, London, UK.
Ana MarušićDepartment of Research in Biomedicine and Health, Center for Evidence-Based Medicine, University of Split School of Medicine, Split, Croatia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSystematic reviews (SRs) are invaluable evidence syntheses, widely used in biomedicine and other scientific areas. Tremendous resources are being spent on the production and updating of SRs. There is a continuous need to automatize the process and use the workforce and resources to make it faster and more efficient.

methodsInformation gathered by previous EVBRES research was used to construct a questionnaire for round 1 which was partly quantitative, partly qualitative. Fifty five experienced SR authors were invited to participate in a Delphi study (DS) designed to identify the most promising areas and methods to improve the efficient production and updating of SRs. Topic questions focused on which areas of SRs are most time/effort/resource intensive and should be prioritized in further research. Data were analysed using NVivo 12 plus, Microsoft Excel 2013 and SPSS. Thematic analysis findings were used on the topics on which agreement was not reached in round 1 in order to prepare the questionnaire for round 2.

resultsSixty percent (33/55) of the invited participants completed round 1; 44% (24/55) completed round 2. Participants reported average of 13.3 years of experience in conducting SRs (SD 6.8). More than two thirds of the respondents agreed/strongly agreed the following topics should be prioritized: extracting data, literature searching, screening abstracts, obtaining and screening full texts, updating SRs, finding previous SRs, translating non-English studies, synthesizing data, project management, writing the protocol, constructing the search strategy and critically appraising. Participants have not considered following areas as priority: snowballing, GRADE-ing, writing SR, deduplication, formulating SR question, performing meta-analysis.

conclusionsData extraction was prioritized by the majority of participants as an area that needs more research/methods development. Quality of available language translating tools has dramatically increased over the years (Google translate, DeepL). The promising new tool for snowballing emerged (Citation Chaser). Automation cannot substitute human judgement where complex decisions are needed (GRADE-ing).

trial registrationStudy protocol was registered at https://osf.io/bp2hu/ .

Indexed as

RecordsResearch DesignHumansSurveys and QuestionnairesAutomation toolsEvidence syntesisPrioritization

Identifiers

PMID36973729
PMCPMC10042663

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read10
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.