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Systematic Searching for Systematic Reviews Systematic Searching for Systematic Reviews

Systematic Searching for Systematic Reviews - PowerPoint Presentation

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Systematic Searching for Systematic Reviews - PPT Presentation

Steven Chang Senior Research Advisor Library Science Health amp Engineering La Trobe University Patrick Condron Research Librarian Medicine Dentistry and Psychology University of Melbourne ID: 753888

systematic search filters reviews search systematic reviews filters https health communication effective tiab text mining pixabay www flinders research

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Slide1

Systematic Searching for Systematic Reviews

Steven Chang, Senior Research Advisor (Library – Science, Health & Engineering)La Trobe UniversityPatrick CondronResearch Librarian (Medicine, Dentistry and Psychology)University of MelbourneSlide2

Systematic Reviews Growth

CDSRSlide3

Systematic Reviews Growth

CDSRSlide4

You can get kids to eat more veggies!

Mette Mikkelsen et al. A systematic review of types of healthy eating interventions in preschools. Nutr J 13:56

Comprehensive interventions were more likely to succeed in behaviour change, especially when targeting children of low income familiesPreschools are a promising venue for increasing fruit and vegetable consumptionProperly designed interventions, with clear indicators and outcomes are scarceSlide5

Successful Multicomponent ProgramsSlide6

Effective communication for systematic reviewsSlide7

Effective communication for systematic reviews:What do they really want?

Are they really conducting a systematic review? Or do they want a narrative literature review?Slide8

Traditional narrative reviews may be at

high risk of bias

. Systematic reviews aim to

minimise this bias

.

Effective communication for systematic reviews:Slide9

Effective communication for systematic reviews:the research question

Invest in understanding the question deeplyTakes longer than you expect – may be complexSlide10

How is palliative care being used for patients with heart failure

?Is this the same as “terminal care”, or different?

Does this overlap with “heart attack” / “myocardial infarction?”

What study types are we looking for? randomised controlled trials? Or cohort studies? Reviews? Or all of the above and more?

Drug therapy? Or non-pharmacological studies?

Effective communication for systematic

reviews:

the research questionSlide11

Effective communication for systematic reviews:service scope

Establish clear expectationsHow deeply into the research process will you go?Consider…Scalability Staff – expert searching competencyStandards of service Who is eligible?Slide12

Effective communication for systematic reviews:articulating our expertiseSlide13

Effective communication for systematic reviews

Workshopping!It’s an iterative processLine-by-line tinkeringEncourage trial and error – it’s a science experiment!Slide14

Effective communication for systematic reviewsSlide15

Effective communication for systematic reviews

Reminding ourselves: this is their research, not oursBe mindful of this when encountering disagreements about search strategyBe assertive – but the final decision belongs to the researcher Slide16

Effective communication for systematic reviews:co-authorship

Do librarians deserve formal co-authorship?Expect uncertainty and pushbackCo-authorship is worth it Bolsters your professional record Raises the profile of librarians as expertsSlide17

Effective communication for systematic reviews:

co-authorshipSlide18

Question to Strategy

Population Intervention Comparison OutcomeSample ; Phenomenon of Interest ; Design ; Evaluation ; Research type Expectation ; Client group ; Location ; Impact ; Professionals ; ServiceLeeds Institute of Health Sciences : Search Concept Tools https://medhealth.leeds.ac.uk/info/639/information_specialists/1500/search_concept_tools

PICO

SPIDER

ECLIPSESlide19

Concept Development

Medical Education

Performance

AssessmentSlide20

Acronyms to Remember PRISMA, AMSTAR, PROSPEROSlide21

Prisma Checklist - SearchingSlide22

PRISMA Flow DiagramSlide23
Slide24

Sources Used

Average 6 Databases SearchedSlide25

Sources Used

DatabasePediatrics (n=68)Pop Health (n=34)PubMed/Medline65

34PsycInfo

34

14

Cochrane (CENTRAL/DARE/CDSR)

31

15

CINAHL

32

14

Embase

31

17

Web of Science

32

9

Scopus126ERIC ; Google Scholar12

3Ebsco ; Proquest Central ; Proquest Dissertations and Theses ; ScienceDirect5 to 7Slide26

Sources Used

Developing Countries LILACS, WHOLIS, World Bank, Scielo, IMEMR, Global Health, African Index Medicus, PAHO, WPRIMEvaluation Health Technology Assessments, Health Economic Evaluations Database

, Health Policy Reference CenterGrey Literature /

Guidelines

OpenGrey

,

Oaister

,

GreyNet, National Guidelines Clearinghouse

, Guidelines International Network Indigenous Australian

Indigenous Health

InfoNet

, Australian Institute of

Aboriginal

and Torres Strait Islander Studies, First Nations Periodical

Index

Injuries TRANSPORT,

SafetyLitNutrition CAB Abstracts, Biosis, Food Science and Technology AbstractsPhysical

Activity SportDiscus, PedroSocial/Family ASSIA, Sociological Abstracts, Social Work Abstracts, Campbell Collaboration, SocIndex, NCJRS, Popline

, Social Care OnlineTrials clinicaltrials.gov, Current Controlled Trials, International Clinical Trials Register (ICTRP), MetaRegister

of Controlled TrialsSlide27

Proximity

(blood or plasma or rbc or wbc) N5 (transfus* or transfer)(food or nut or treenut or peanut* or milk or dairy) N5 (allerg* or sensitivit* or

hypersensitiv*)Search for terms within five words of one another

Cochrane Library NEAR/5

Ebsco

N5

Informit

%5 Ovid ADJ5 ProQuest NEAR/5 or

N/5

Scopus W/5

Web of Science NEAR/5

PubMed, Google Scholar

NoneSlide28

Unnecessary TruncationTruncation frenzy !!

nut* nut, nuts / nutrition, nutrientsclot* clot, clots / clothes, clothingintern* intern, interns / internal medicineSlide29

Proximity and Truncation PitfallsProquest

proximity + truncation(famil* or parent* or sibling* or relative* or adult* or child* or infant* or relative*) n/7 (care or caring or home or homes or assist* or support* or train* or partner*)Consider removing truncation. Search the main terms required.Informit nested proximity

famil* %7 care or famil* %7 caring or

famil

* %7 home or

famil

%7 homes …

Create a simplified search strategy for

InformitSlide30

Subject Headings

Does the default search include the subject?Reversed subjects 1 pulmonary hypertension 33,0002 hypertension pulmonary 32,0003 1 or 2 44,000Subheading codes. Ovid does not index the equivalent term.

suicide prevention Drug therapy

suicide/pc

dt.fs

.Slide31

Subject Headingsexp

anticoagulants/anticoagul* or “anti coagul*” or warfarin or acenocoumarol or coumadin or coumarin or phenprocoumon or sintrom or sinthrome or

jantoven or marevan or waran

or

nicoumalone

or

dicoumarol

or

dicumarol or …

Avoid Explosion Excitement!!Slide32

Medline to Embase subject translation

Significant differences in subject heading usageSubject TermMedline

Embase

Difference

Thrombocytopenia

25919

118467

357%

Wound

Infection

10538

42770

306%

Primary

Prevention

17262

37540

117%

Celiac

Disease18651

29288

57%

Attitude to

Health

83974

91220

9%

Disease

Management

27095

26946

-1%

Clinical

Competence

79268

49593

-37%

Geriatric

Assessment

24002

12640

-47%Slide33

Medline to Embase Translation

Medline TermEmbase

Term

Chest

Pain

11570

Thorax

Pain

70120

Chest

Pain

22421

Emergency Medical

Services

37710

Emergency

Health Service

89828

Emergency

Medical Services

83300

Varicose

Ulcer

4574

Varicosis

27446

Varicose

Ulcer

14846

Diet,

Gluten-Free

1455

Gluten

Free Diet

7285

Diet, Gluten-Free

7285

Rhinitis,

Allergic

1820

Allergic

Rhinitis

26418

Rhinitis, Allergic

17557

Alternative

Embase

subjects have different results to using Medline subject.Slide34

Publication Type

Exclude publication types where possibleEmbaseConference Abstract2.4 million

Web of ScienceMeeting Abstract6.8 million

PsycInfo

Dissertation Abstract

420,000Slide35

Age Groups

PsycInfo CINAHL EMBASE Slide36

No, they aren’t all doing it!

Bianca Klettke et al. Sexting prevalence and correlates : a systematic literature review. Clin Psych Rev 34:44-53 (Deakin University)25 studies with prevalence measures (92% US)

Lots of variability in age ranges studiedAdolescents (12 studies, 6 random & representative sampling) :

Sent 10.2%-15.5%

Received 15.6%-35%

Adults (13 studies, 9 with undergrad student samples) :

Sent 53%

Received 56%Slide37

Search filters (or “hedges”)

What are they?Tested, pre-defined search strategiesThis is different from database limits

Standardise the way we search, based on what we know about the science of expert searching

Let’s not reinvent the wheel!Slide38

Search filters

Cochrane Highly Sensitive Search Strategy for identifying randomized trials in MEDLINE: sensitivity-maximizing version (Ovid)Slide39

Search filters

(((((australia[mh] OR australia*[tiab

]) AND (oceanic ancestry group[mh

] OR

aborigin

*[

tiab

] OR indigenous[

tw

])) OR (

torres

strait* islander*[

tiab

])) AND

medline

[

sb

]) OR ((((au[ad] OR

australia*[ad] OR australia*[tiab] OR northern territory[

tiab] OR northern territory[ad] OR tasmania[tiab

] OR tasmania[ad] OR new south wales[tiab] OR new south wales[ad] OR

victoria[

tiab

] OR

victoria

[ad] OR

queensland

[

tiab

] OR

queensland

[ad]) AND (

aborigin

*[

tiab

] OR indigenous[

tiab

])) OR (

torres

strait* islander*[

tiab

])) NOT

medline

[

sb

]) AND English[la])

Developed by

Lowitja

Institute in collaboration with Flinders Filters, Flinders

University

Retrieves 92.9% of reviews on Aboriginal & Torres Strait Islander health

Tieman

JJ; Lawrence MA;

Damarell

RA;

Sladek

RM;

Nikolof

A.

LIt.search

: fast tracking access to Aboriginal and Torres Strait Islander health literature.

Australian Health Review

. 38(5):541-5, 2014 Nov.Slide40

Search filters

Methodological search filtersTherapyDiagnosisEtiology (causation)PrognosisQualitative

Subject-based search filters

Palliative care

Heart failure

Abortion and contraception

BereavementSlide41

Search filters:where to find them

ISSG search filters Flinders Filters (Flinders University)SIGN search filtersHLWiki page on search filters

Lowitja (indigenous Australians)Slide42

Text mining:

What is it?The analysis of how often terms appear in known relevant records.Used for:Search term selectionRanking output by relevanceSlide43

Text mining: for search term selection

In a given set of known relevant records, what are the most frequent terms that appear?Tools:PubMed PubReMinerTermineYale MeSH AnalyzerSlide44

Text mining: for search term selection

Analysis of results from mindfulness for depression search, using PubMed PubReMiner:Slide45

Text mining – for ranking outputs

Text mining for ranking outputs by relevanceUse EndNote for thisSlide46

Software for systematic reviews Slide47

Building expertise for systematic reviews:

staff developmentSlide48

Further resources:impact of librarian supporting systematic reviews

Meert, D., Torabi, N., & Costella, J. (2016). Impact of librarians on reporting of the literature searching component of pediatric systematic reviews. Journal of the Medical Library Association : JMLA, 104(4), 267–277. http://doi.org/10.3163/1536-5050.104.4.004

Rethlefsen, M. L., Farrell, A. M., Trzasko, L. C. O., & Brigham, T. J. (2015). Librarian co-authors correlated with higher quality reported search strategies in general internal medicine systematic reviews. 

Journal of clinical epidemiology

68

(6), 617-626.

Rethlefsen

, M. L., Murad, M. H., & Livingston, E. H. (2014). Engaging medical librarians to improve the quality of review articles. 

Jama, 312(10), 999-1000.Slide49

Further resources:validated search filters

ISSG search filtershttps://sites.google.com/a/york.ac.uk/issg-search-filters-resource/home SIGN search filtershttp://www.sign.ac.uk/methodology/filters.html HLWiki (Health Librarians Wiki) – search filters and hedgeshttp://hlwiki.slais.ubc.ca/index.php/Search_filters_%26_hedges

Flinders Filters (Flinders University)

http://www.flinders.edu.au/clinical-change/research/flinders-filters/

CareSearch

filters

https://www.caresearch.com.au/caresearch/tabid/371/Default.aspx

LIt.search

http://www.lowitja.org.au/litsearchSlide50

Further resources:text mining

O’Mara-Eves, A., Thomas, J., McNaught, J., Miwa, M., & Ananiadou, S. (2015). Using text mining for study identification in systematic reviews: a systematic review of current approaches. Systematic reviews, 4(1), 1. ChicagoCatherine Voutier’s clinical librarian blog – text mining lessons from Julie Glanville’s visit to Australiahttps://clinicallibrarian.wordpress.com/2015/04/11/text-mining-with-julie-glanville/Research White Paper: an exploration of the use of text-mining software in systematic reviews

http://effectivehealthcare.ahrq.gov/ehc/products/625/2214/text-mining-report-160419.pdf Slide51

Further resources:staff development

Health Libraries Inc http://www.hlinc.org.au/ ALIA Health Libraries Australia https://www.alia.org.au/groups/HLA Introduction to Systematic Reviews and Meta-Analysis (Coursera)https://www.coursera.org/learn/systematic-review Yale University videos introducing systematic reviews

http://library.medicine.yale.edu/tutorials/subjects/systematic-reviews Annual four-day Australian EBP for Librarians Institute (residential event)

http://ebp.institute.libguides.com

/

Slide52

Thanks!

Any questions?You can find us at:Steven ChangTwitter:

@StevenPChangs.chang@latrobe.edu.au

Patrick Condron

p.condron@unimelb.edu.au

Slide53

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Image creditSlide54

Credits

Presentation template by SlidesCarnivalImage credits : f1uffster. Yummy, yummy, yummy. Retrieved from https://www.flickr.com/photos/22750018@N05/4633187250/

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