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Indian Pediatr 2019;56:45-48 |
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Profile of Published
Cochrane Systematic Reviews in Child Health From Low- and
Middle-Income Countries
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Anju Sinha 1,
Colleen Ovelman2,
Alok Pradhan3,
Neeru Gupta1,
Kiran Thumburu4
and Pankaj Gupta1
From 1Indian Council of Medical Research,
New Delhi; 2Cochrane Neonatal Group; 3Kasturba
Hospital, New Delhi; and 4Centre for Advanced Research on
Evidence Based Child Health, PGIMER, Chandigarh; India.
Correspondence to: Dr Anju Sinha, Division of
Reproductive Biology, Maternal and Child Health, Indian Council of
Medical Research, New Delhi, India.
Email: [email protected]
Received: November 03, 2017;
Initial Review: March 16, 2018;
Accepted: November 12, 2018
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Objective: Setting priorities in health research is a
challenge at the global and national levels. Use of evidence-based
approach is uncommon and needs to be promoted in low-and middle-income
countries (LMIC). We describe profile of Cochrane systematic reviews
focussing on participation from LMIC. Methods: We
searched six Cochrane review groups producing reviews relevant to child
health in low- and middle-income countries for published Cochrane
systematic reviews from 1 March, 2009 till 18 March, 2015 in the
Cochrane Library. Results: A total of 669 Cochrane
systematic reviews from six review groups were found. Low proportion of
lead authors from low- and middle-income countries was found in 4 out of
6 review groups. About 50% of the reviews showed inconclusive evidence.
101/669 (15%) empty reviews were found needing more primary studies.
Conclusions: The proportion of Cochrane authors from low- and
middle-income countries is low. Capacity-building in systematic reviews
and good quality primary research in these countries is warranted.
Keywords: Diarrhea, Evidence-based medicine, Health policy,
Meta-analysis.
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P riority-setting in health
research is a challenge at the global, national and local levels. Most
low-and middle-income countries (LMIC) do not have a systematic priority
setting mechanism in place; occasionally, there are disease-driven or
funder-driven approaches for prioritization, but these tend to be
reactionary approaches. Strategic priority-setting is essential to
promote and provide direction to research and innovation in a
resource-constrained environment. There is no agreed best practice for
priority-setting, though the US National Institute of Health (NIH), the
World Health Organization (WHO) and the Child Health and Nutrition
Research Initiative (CHNRI) have proposed a methodology [1-3].
Priority-setting using an evidence-based approach is uncommon and needs
to be promoted in LMIC settings as it provides information and tools to
help with priority setting [4].
Systematic reviews based on a number of primary
studies, are placed at the top of the evidence pyramid [5], and are
considered important for policy decision-making [6,7]. The knowledge
emerging from systematic reviews assist health planners to set
priorities for health research, implement proven interventions, and use
limited resources judiciously. However, the information about systematic
reviews addressing problems of LMIC is scant. We analyzed child relevant
Cochrane systematic reviews [8] to find the publication of LMIC
knowledge gaps and to prepare a list of primary research questions, for
potential uptake in research agenda in LMIC.
Methods
We identified top six Cochrane Review Groups reported
to have the maximum number of child-relevant systematic reviews in the
Cochrane Library [6]. We used a working definition of child-relevant
systematic reviews as one that intended to use children (0-18 yrs) as
their populations, exclusively, or along with an adult population of
both genders. An information specialist searched the databases of six
Cochrane Review Groups (ranked in order of their contribution towards
child-related SRs): (Acute Respiratory Infections [ARI]; Infectious
Diseases; Neonatal; Cystic Fibrosis and Genetic Disorders; Airways;
Developmental, Psycho-social and Learning Problems) from 1 st
March, 2009 till 18th March,
2015 in the Cochrane Library. We screened all systematic reviews from a
LMIC perspective, noted their use of GRADE to assess the quality of
evidence, and collected information on the conclusiveness of the review
to find research leads for the future. We used the search strategy
developed by Bow, et al. [6].
The records identified from the search were screened
by two authors for inclusion. Any discrepancies were sorted out by
discussion among authors to reach a final decision. An electronic data
extraction form was developed in Microsoft Excel, pilot tested and
refined for this purpose. The title, author information, objectives,
methods, main results and authors’ conclusions sections of the included
Cochrane reviews from the six Cochrane review groups were abstracted. We
used the affiliations provided in the authors’ section of the review to
judge whether the corresponding author belonged to a LMIC or not.
Information on the country where the trials were conducted was extracted
from the ‘Characteristics of included studies’ tables. To categorize the
country of corresponding authors we referred to the human development
index classification as high, medium or low as defined by the United
Nations [9] and income level (high, upper-middle, lower-middle, or low
income according to the World bank [10]. We used standard definitions to
classify interventions as pharmacological, behavioral, physical
environment-related, psychosocial, or other. Type of study design: RCTs
or quazi-RCTs; number of trials in the reviews; types of intervention;
total number and type of participants: children and/or adults;
disease/condition being addressed, use of meta-analysis and evaluation
of evidence as per GRADE was extracted from the ‘Data collection and
analysis section’ of the reviews. Information about gap in knowledge was
inferred from the ‘Overall completeness and applicability of evidence’
and ‘Quality of the evidence’ sections. If the reviews reported
‘inconclusive evidence’, we looked for any reasons cited.
Evidence as per Grading Recommendation Assessment
Development Evaluation [11] was classified as low, moderate, or high. If
GRADE was not used in a review, we examined and categorized the reviews
as those that assessed allocation concealment, risk of bias, and used
the Jadad scale [12].
We explored each variable separately in the data set
using univariate method to summarize the range of values and also the
central tendency, wherever possible. Analyses were carried out within
the six Cochrane review groups individually and also overall.
Results
We identified 669 Cochrane systematic reviews
addressing research questions of importance to LMICs; most (176, 26.3%)
from the Airways group (Table I).
TABLE I Summary of General Information and Characteristics of Included Studies in Child-relevant Systematic Reviews (N=669)
CRG name |
Number of
systematic reviews(n= 669) |
Corresponding
author from LMIC
(n=122) |
Net number#of systematic
reviews
(n=568) |
Trials includedin reviews,
conducted inLMIC (n=149) |
Children as
participants intrials included
in reviews
(n=296) |
Systematic reviews
with Meta-Analysis(n=464) |
GRADE used in reviews (n=210) |
Inconclusive
evidence due to not enough
RCTs (n=344) |
Inconclusive
evidence dueto small sample
sizes(n=204) |
Airways |
176 |
9 |
158 |
0 |
51 |
148 |
45 |
122 |
51 |
Neonatal |
155 |
15 |
129 |
35 |
129 |
105 |
24 |
64 |
58 |
ARI |
97 |
30 |
91 |
24 |
44 |
71 |
48 |
48 |
44 |
Cystic |
100 |
25 |
71 |
12 |
12 |
41 |
20 |
42 |
24 |
Developmental |
78 |
15 |
60 |
22 |
48 |
44 |
26 |
55 |
19 |
Infectious disease |
63 |
20 |
59 |
56 |
12 |
55 |
47 |
13 |
8 |
#Number of Cochrane Reviews after
deleting empty (without any trials) reviews; ARI: Acute
respiratory infections; CRG: Cohrane Review Group; LMIC: Low-
and middle-income countries; RCT: Randomized controlled trial.
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Corresponding authors were from LMICs in 122 (18.2%)
reviews, and 22.3% of included trials had been conducted in these
countries.
As expected, Neonatal group reviews (n=155)
had 100% neonatal participants, whereas the combined proportion of
pediatric participants in the remaining five groups was 32.5% (167 out
of 514). Use of meta-analysis in systematic reviews was quite common
(61.3%); although, use of GRADE for assessing the quality of evidence
was low (31.4%) and not uniform across groups (Table I).
The proportion of reviews that reported evidence to be conclusive also
varied widely across groups (data not shown), and overall 396 (59.2%)
reviews reported the evidence as insufficient.
Systematic reviews from all the six review groups
cited not having sufficient number of randomized controlled trials
(51.4%) and small sample size (30.5%) in included studies as the reasons
for insufficient evidence. The median number of RCTs included in the
reviews was 12, 9, 8, 8, 5 and 4 in Infectious diseases, Airways, Acute
respiratory infections, Developmental, Neonatal and Cystic fibrosis
groups, respectively. About 15% (101 out of 669) of systematic reviews
across the six review groups were ‘empty reviews’ (29% in the Cystic
fibrosis and Genetic diseases group; <1% in the ARI group) (Web
Appendix 1).
Discussion
Our study showed that the proportion of Cochrane
authors from LMICs is low as compared to the high-income countries; very
few RCTs conducted in LMICs were included in Cochrane reviews. Use of
meta-analysis was observed to be high; but the use of GRADE by different
groups was variable. Our study is limited to the top six Cochrane review
groups, which produce approximately 50% of reviews including children as
participants [6].
Our finding of low proportion of Cochrane authors
from LMICs is in agreement with other publications reporting more than
half of systematic reviews being produced in high-income countries.
Other authors have reported that most primary studies are conducted in
the US, UK, Canada with limited application to LMICs [13,14]. The
reasons for inconclusive evidence reported by authors were: lack of
sufficient number of trials included in the reviews and small sample
sizes in the studies included, similar to report by Willhelm, et al.
[15], who listed the common reasons for inconclusive reviews as small
number of patients, insufficient data, insufficient methodological
quality, and heterogeneity of studies. Reasons for lack of studies from
LMICs in Cochrane reviews could be: lack of well conducted trials in
LMICs/ or poor quality of trials leading to their exclusion from the
review process [16]; absence of electronic databases prior to 1980s;
non-publication of negative trials; stringent regulatory mechanisms; and
lack of funding. Our study findings suggest that capacity-building in
methodology of systematic reviews in India and other LMIC needs to be
increased in order to bridge the existing gap. Systematic reviews with
conclusive evidence should be used to prevent research waste (of
repeated trials with same objectives). At the same time, systematic
reviews with inconclusive evidence should prompt more research to reach
conclusive answers. Our study showed that reaching conclusive evidence
is difficult to achieve even while synthesizing evidence in systematic
reviews.
Contributors: AS: conceptualized and conducted
the study, analyzed, interpreted the data, wrote the first draft,
revised for submission: CO: conducted search, reviewed the manuscript
for improving intellectual content: AP, KT, NG & PG: extracted data,
reviewed the manuscript, and approved the version to be published.
Funding: None; Competing interest: None
stated.
What This Study Adds
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There is limited involvement of
authors from LMICs in generating evidence from systematic
reviews.
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A list of titles registered with Cochrane that were empty
reviews (101) at the time of the study is presented for
researchers to take up these topics as primary research.
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