Literature DB >> 31501098

Iron stores in pregnant women with sickle cell disease: a protocol for a systematic review and meta-analysis.

Desmond Aroke1,2, Benjamin Momo Kadia3, Tsi Njim2.   

Abstract

INTRODUCTION: Sickle cell disease (SCD) is the most common inherited disease worldwide. The greatest disease burden is seen in sub-Saharan Africa. Early diagnosis and improved care of people living with SCD have led to an increase in the number of women with SCD reaching the reproductive age. Iron deficiency anaemia remains the most common cause of anaemia in pregnancy, affecting 51%-63% of pregnancies in Africa. However, the unavailability of guidelines on supplementation of iron in this pregnant subpopulation often leaves clinicians in a fix. We propose to conduct the first systematic review and possibly a meta-analysis on the prevalence, associated factors and maternal/fetal outcomes of iron deficiency anaemia among pregnant women with SCD. METHODS AND ANALYSIS: We will search the following electronic databases for studies on the iron status of pregnant women with SCD: PubMed, MEDLINE, EMBASE, Google Scholar, African Journals Online, African Index Medicus, Popline and the Cochrane Library. After the selection of eligible studies from the search output, review of full text, data extraction and data synthesis will be performed. Studies obtained from the review shall be evaluated for quality, risk of bias and heterogeneity. Appropriate statistical methods shall be used to pool prevalence estimates for matching studies globally and in subpopulations. This protocol has been reported as per the 2015 guidelines of the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols. ETHICS AND DISSEMINATION: There is no requirement for ethical approval as the proposed study will use published data. The findings of this study will be published in a peer-reviewed journal and will be presented at conferences. TRIAL REGISTRATION NUMBER: CRD42018109803. © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  iron status; pregnancy; protocol; sickle cell disease; systematic review/meta-analysis

Mesh:

Substances:

Year:  2019        PMID: 31501098      PMCID: PMC6738703          DOI: 10.1136/bmjopen-2018-026497

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


This review will be the first to summarise published data on the iron status of pregnant women with sickle cell disease. This systematic review will reduce the risk of bias by using an independent review process. The meta-analysis to be performed will improve the precision of the prevalence of iron deficiency anaemia in women with sickle cell disease. Most studies on iron deficiency in people with sickle cell disease are likely to be done in resource-limited settings, so the pooled prevalence may not reflect reality in other settings. Considering that this review will include various study designs, there is a potential risk of heterogeneity in the results.

Introduction

Sickle cell disease (SCD) is a disease caused by inheritance of a defective haemoglobin gene resulting in red blood cells changing shape in hypoxic conditions and subsequent chronic haemolysis.1 SCD is the most common inherited disease worldwide. The WHO reports that approximately 60% of the world’s 229 countries are endemic for haemoglobin disorders.2 About 85% of sickle cell disorders and 70% of SCD-affected births occur in Africa.2 Over 7% of pregnant women worldwide carry a significant haemoglobin gene variant.2 Pregnancies in women with SCD have been shown to be associated with adverse maternal and fetal outcomes.3 Maternal mortality in a previous report was shown to be about 29 times higher in pregnant women with SCD when compared with pregnant women without SCD.4 Better understanding of the disease pathology and improved patient care have led to more women with SCD reaching reproductive age. Factors capable of influencing the morbidity of this condition need to be properly reviewed to guide clinical case management. The low adult female iron body stores in tandem with increased pregnancy iron requirements often put pregnant women at risk of iron deficiency anaemia.5–8 Iron deficiency anaemia in pregnancy is a known significant contributor to maternal mortality. Daily iron supplementation in pregnancy is recommended by WHO as a proactive measure to reduce anaemia and its associated complications in pregnancy.9 However, there are no clear guidelines on iron supplementation in the SCD subpopulation. In the SCD subpopulation, chronic haemolysis leads to recurrent transfusions and a risk of iron overload.10 This risk of iron overload among patients with SCD and risk of iron deficiency in pregnancy make supplementation of iron in pregnant women with SCD a difficult decision. Several studies have been done to evaluate iron stores among pregnant women with SCD with varying outcomes.11–15 We previously provided recommendations on iron supplementation in this subpopulation.16 Harmonising published data in a systematic review and meta-analysis would provide better and more resilient recommendations on this issue.

Objectives

We aim to systematically review existing data on iron stores among pregnant women with SCD. The following are the specific objectives: To estimate the prevalence of iron deficiency anaemia among pregnant women with SCD. To assess sociodemographic, obstetric and clinical factors associated with iron deficiency anaemia among pregnant women with SCD. To evaluate fetal (birth weight, anaemia, anomalies, stillbirth, neonatal death and infant death) and maternal (maternal anaemia, transfusion, preterm delivery, acute complications of SCD, oligohydramnios, caesarean delivery and maternal mortality) outcomes among pregnant women with SCD who are iron-deficient.

Methods

This protocol has been written following the guidelines of the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols 2015 checklist,17 available in table 1. The protocol has been registered on the PROSPERO International Prospective Register of Systematic Reviews (registration ID: CRD42018109803). The study shall be carried out for a period of 6 months from the date of publication of this protocol.
Table 1

PRISMA-P 2015 checklist for the study protocol of a systematic review on iron stores in pregnant women with sickle cell disease

Section and topicItem numberChecklist itemPage
Title
 Identification1aIdentify the report as a protocol of a systematic review.1
 Update1bIf the protocol is for an update of a previous systematic review, identify as such.N/A
Registration2If registered, provide the name of the registry (such as PROSPERO) and registration number.
Authors
 Contact3aProvide name, institutional affiliation, email address of all protocol authors; provide physical mailing address of corresponding author.1
 Contributions3bDescribe contributions of protocol authors and identify the guarantor of the review.6
Amendments4If the protocol represents an amendment of a previously completed or published protocol, identify as such and list changes; otherwise, state plan for documenting important protocol amendments.N/A
Support
 Sources5aIndicate sources of financial or other support for the review.10
 Sponsor5bProvide name for the review funder and/or sponsor.N/A
 Role of sponsor or funder5cDescribe roles of funder(s), sponsor(s) and/or institution(s), if any, in developing the protocol.N/A
Introduction
 Rationale6Describe the rationale for the review in the context of what is already known.2
 Objectives7Provide an explicit statement of the question(s) the review will address with reference to participants, interventions, comparators and outcomes (PICO).3
Methods
 Eligibility criteria8Specify the study characteristics (such as PICO, study design, setting, timeframe) and report characteristics (such as years considered, language, publication status) to be used as criteria for eligibility for the review.3 and 4
 Information sources9Describe all intended information sources (such as electronic databases, contact with study authors, trial registers or other grey literature sources) with planned dates of coverage.4
 Search strategy10Present draft of search strategy to be used for at least one electronic database, including planned limits, such that it could be repeated.10 and 11
Study records
 Data management11aDescribe the mechanism(s) that will be used to manage records and data throughout the review.4 and 5
 Selection process11bState the process that will be used for selecting studies (such as two independent reviewers) through each phase of the review (ie, screening, eligibility and inclusion in meta-analysis).4
 Data collection process11cDescribe planned method of extracting data from reports (such as piloting forms, done independently, in duplicate), any processes for obtaining and confirming data from investigators.5
Data items12List and define all variables for which data will be sought (such as PICO items, funding sources), any preplanned data assumptions and simplifications.5
Outcomes and prioritisation13List and define all outcomes for which data will be sought, including prioritisation of main and additional outcomes, with rationale.5
Risk of bias in individual studies14Describe anticipated methods for assessing risk of bias of individual studies, including whether this will be done at the outcome or study level, or both; state how this information will be used in data synthesis.5
Data synthesis15aDescribe criteria under which study data will be quantitatively synthesised.5
15bIf data are appropriate for quantitative synthesis, describe planned summary measures, methods of handling data and methods of combining data from studies, including any planned exploration of consistency (such as I2, Kendall’s τ).5
15cDescribe any proposed additional analyses (such as sensitivity or subgroup analyses, meta-regression).5
15dIf quantitative synthesis is not appropriate, describe the type of summary planned.5
Meta-bias(es)16Specify any planned assessment of meta-bias(es) (such as publication bias across studies, selective reporting within studies).5
Confidence in cumulative evidence17Describe how the strength of the body of evidence will be assessed (such as Grading of Recommendations Assessment, Development andEvaluation (GRADE)).5

N/A, not applicable; PRISMA-P, Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols.

PRISMA-P 2015 checklist for the study protocol of a systematic review on iron stores in pregnant women with sickle cell disease N/A, not applicable; PRISMA-P, Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols.

Eligibility criteria

We shall include all observational studies and clinical trials with evidence on the iron status in pregnant women with SCD, as illustrated in table 2.18 There will be no language limitation.
Table 2

Inclusion and exclusion criteria

PICOS strategy18 Inclusion criteriaExclusion criteria
P: populationPregnant women with sickle cell disease (SCD).Pregnant women who do not have SCD.
I: intervention/exposureIron deficiency among pregnant women with SCD.
C: comparisonPregnant women with SCD who are not iron-deficient.
O: outcome(s)Fetal (birth weight, anaemia, anomalies, stillbirth, neonatal death and infant death) and maternal (maternal anaemia, transfusion, preterm delivery, acute complications of SCD, oligohydramnios and caesarean delivery) outcomes among pregnant women with SCD who are iron-deficient.Studies which fail to report fetal and or maternal outcomes.
S: study designAll observational studies and clinical trials.

All mini-reviews, commentaries, editorials, case reports and case series with small sample size.

Abstracts whose full data would not be available even on requesting from the authors.

Unpublished manuscripts and conference abstracts.

Duplicates; studies published with same or different titles in more than one journal; the most updated version shall be considered.

Inclusion and exclusion criteria All mini-reviews, commentaries, editorials, case reports and case series with small sample size. Abstracts whose full data would not be available even on requesting from the authors. Unpublished manuscripts and conference abstracts. Duplicates; studies published with same or different titles in more than one journal; the most updated version shall be considered.

Search strategy

The search for relevant studies will be done online.

Electronic sources

The following databases shall be searched for eligible studies: PubMed, MEDLINE, EMBASE, Google Scholar, African Journals Online, African Index Medicus, Popline and the Cochrane Library. We will search for all studies from inception to the present. The search will be done by combining relevant terms related to SCD, iron stores and pregnancy as illustrated in table 3.
Table 3

Search strategy for MEDLINE and adaptability to other databases

SearchesSearch combinationsSearch termsNumber of hits
S1(MH “Anemia, Sickle Cell+“) OR (MH “Sickle Cell Trait”)
S2“Sickle cell anaemia” OR “sickle cell anemia” OR “sickle cell trait” OR “Sickle cell disease” OR “sickle cell haemoglobinopathy” OR “haemoglobinopathy” OR “hemoglobinoathy” OR “abnormal haemoglobin” OR “abnormal haemoglobin” OR “sickler” OR “sicle cell” OR “Drepanocytosis” OR “HbSS” OR “HbSC” OR “SCD” OR “SS” OR “SC”
S3S1 OR S2
S4(MH “Pregnancy+“) OR (MH “Pregnancy Outcome+“) OR (MH “Pregnancy Trimesters+“) OR (MH “Pregnancy Complications+")
S5“Pregnan*” OR “pregnancy outcome” OR “pregnancy trimesters” OR “pregnancy complications” OR “Gestation*” OR Pregnant OR “Gestation age” OR “gravid*” OR “Expect* mother” OR “trimester” OR “parity”
S6S4 OR S5
S7(MH “Iron+“) OR (MH “Iron, Dietary”) OR (MH “Iron Overload+“) OR (MH “Dietary Supplements+“) OR (MH “Anemia, Iron-Deficiency”)
S8Iron OR “diet* iron” OR “Iron overload” OR “dietary supplement*” OR “iron deficiency anaemia” OR “iron deficiency anemia” OR ”iron status” OR “iron stores” OR “iron supplementation” OR “serum iron” OR “iron deficiency” OR “serum ferritin” OR “bone marrow stainable iron” OR “total iron binding capacity” OR “transferrin” OR “iron overload” OR “microcytic anaemia” OR “microcytic anemia” OR “anaemia” OR “anemia” OR OR “low body iron” OR “body iron” OR “low serum iron” OR “high serum iron” OR “high body iron” OR “normal serum iron” OR “normal body iron” OR OR “blood iron” OR “iron indices” OR “body iron indices” OR “serum iron indices” OR OR “ferritin”
S9S7 OR S8
S10S3 AND S6 AND S9
Search strategy for MEDLINE and adaptability to other databases References in the identified studies shall be reviewed for articles with similar objectives. This will be done to identify additional data sources that were missed during the search in bibliographic databases.

Study screening

The literature search will be performed independently by two investigators (DA and BMK). The titles and abstracts will be reviewed, and the full texts of potentially eligible articles will be retrieved using EndNote V.X8 software. Preselected full texts will be screened for eligibility using a pretested predefined form created on Epi Info V.7.2.2.6 software. For studies with disagreements between the investigators, arbitration will be done by a third investigator (TN). Publications with ambiguous data shall be resolved by contacting authors by email for clarity. Potentially eligible studies that are excluded will be documented with the various reasons for exclusion. A detailed Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow chart shall be used to depict the selection process (figure 1).
Figure 1

Preferred Reporting Items for Systematic review and Meta-Analysis Protocols flow diagram.

Preferred Reporting Items for Systematic review and Meta-Analysis Protocols flow diagram.

Risk of bias assessment

Two reviewers (DA and BMK) will independently assess the methodological quality and the risk of bias for each included study. Assessment will be done using the Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies of the National Health Institute/National Heart, Lung, and Blood Institute (table 4) for observational studies, and the Cochrane Risk of Bias Tool for Randomized Controlled Trials (tables 5 and 6) for studies which used a randomised design.
Table 4

Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies

CriteriaYesNoOther(CD, NR, NA)
1. Was the research question or objective in this paper clearly stated?
2. Was the study population clearly specified and defined?
3. Was the participation rate of eligible persons at least 50%?
4. Were all the subjects selected or recruited from the same or similar populations (including the same time period)?Were inclusion and exclusion criteria for being in the study prespecified and applied uniformly to all participants?
5. Was a sample size justification, power description, or variance and effect estimates provided?
6. For the analyses in this paper, were the exposure(s) of interest measured prior to the outcome(s) being measured?
7. Was the timeframe sufficient so that one could reasonably expect to see an association between exposure and outcome if it existed?
8. For exposures that can vary in amount or level, did the study examine different levels of the exposure as related to the outcome (eg, categories of exposure, or exposure measured as continuous variable)?
9. Were the exposure measures (independent variables) clearly defined, valid, reliable and implemented consistently across all study participants?
10. Was the exposure(s) assessed more than once over time?
11. Were the outcome measures (dependent variables) clearly defined, valid, reliable and implemented consistently across all study participants?
12. Were the outcome assessors blinded to the exposure status of participants?
13. Was loss to follow-up after baseline 20% or less?
14. Were key potential confounding variables measured and adjusted statistically for their impact on the relationship between exposure(s) and outcome(s)?
Quality rating (good, fair or poor) (see guidance)
Rater 1 initials:
Rater 2 initials:
Additional comments (If POOR, please state why):

Developed by the National Heart, Lung, and Blood Institute.

CD, cannot determine; NA, not applicable; NR, not reported.

Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies Developed by the National Heart, Lung, and Blood Institute. CD, cannot determine; NA, not applicable; NR, not reported. Cochrane Risk of Bias Tool: Cochrane Collaboration modified tool for assessing risk of bias for randomised controlled trials, part I High. Low. Unclear. High. Low. Unclear. High. Low. Unclear. High. Low. Unclear. Use this form to assess risk of bias for randomised controlled trials. Bias is assessed as a judgement (high, low or unclear) for individual elements from five domains (selection, performance, attrition, reporting and other). Risk of selection, reporting and other bias are assessed in the Quality Assessment Form Part I. Risk of performance, detection and attrition bias are assessed using the Quality Assessment Form Part II. Cochrane Collaboration modified tool for assessing risk of bias for randomised controlled trials, part II High. Low. Unclear. High. Low. Unclear. High. Low. Unclear. Use this form to assess risk of bias for randomised controlled trials. Bias is assessed as a judgement (high, low or unclear) for individual elements from five domains of bias (selection, performance, attrition, reporting and other).

Data extraction

A data abstraction sheet produced on Epi Info V.7.2.2.6 statistical software and pretested by investigators will be used to extract data from selected studies. Data to be extracted will include the name of the first author, year of publication, country of study population, duration of study, study design and setting, mean or median age, sex distribution, sickle cell genotype, gestational age distribution, transfusion history, laboratory test used to measure body iron stores, iron status, mean cell volume, prevalence of iron deficiency anaemia, and the outcome of the fetus and the mother. For multinational studies we will separate the results and present them per country.

Data synthesis and analysis

The data will be analysed using STATA V.14 statistical software. Random-effects meta-analysis models will be reported over fixed-effects models due to the possibility of heterogeneity between the various studies retrieved. The χ2 test for heterogeneity and the I2 statistic will be used to assess the degree of heterogeneity among studies. Sensitivity analyses will be conducted to obtain pooled effects from different study designs (randomised controlled trials, cross-sectional, case–control and cohort study designs and the different diagnostic tests used to measure iron deficiency). For objective 1, a pooled prevalence for the proportion of pregnant women with SCD will be obtained if two or more studies provide this measure. Prevalence of iron deficiency anaemia among pregnant women with SCD will further be categorised as per diagnostic method of iron stores. Subgroup analysis to determine the prevalence of iron deficiency anaemia in various regions (Africa, Europe, North America, South America, the Middle East and Asia) will also be performed. Similarly, for objective 2, if two or more studies report on a factor associated with SCD in pregnancy and provide a measure of effect for this relationship (OR), a subgroup analysis will be carried out. The various maternal and fetal outcomes of SCD in pregnancy will be described qualitatively.

Presentation and reporting of results

The systematic review and meta-analysis will be presented according to the PRISMA 2015 guidelines using the PRISMA checklist, which will be published with the final report. No amendments are intended for this protocol; however, any amendments shall be clearly documented.

Patient and public involvement

There will be no involvement of patients or the public in this review.

Ethics and dissemination

We intend to publish the final manuscript as an original article in a peer-reviewed journal. Review findings will be presented at conferences to concerned institutions and submitted to relevant health authorities. Regular updates of this review will be done as needed.

Conclusions

There is controversial evidence regarding the role of iron supplementation in pregnant women with SCD and the associated pregnancy outcomes. Summarising existing data on this issue through a comprehensive review is of utmost importance as a majority of persons with SCD live in low-income areas, regions characterised by profligate use of iron supplements as well as an alarming lack of appropriate resources to guide clinicians on how to use these supplements in pregnant women with SCD.
Table 5

Cochrane Risk of Bias Tool: Cochrane Collaboration modified tool for assessing risk of bias for randomised controlled trials, part I

Using the guidance provided at the end of this form, select either ‘high’, ‘low’ or ‘unclear’ for each judgement. When complete, proceed to part II of the Quality Assessment Form.REF ID:
DomainDescriptionHigh risk of biasLow risk of biasUnclear risk of biasReviewer assessment
Selection bias Random sequence generation Described the method used to generate the allocation sequence in sufficient detail to allow an assessment of whether it should produce comparable groups. Reviewer comments: Selection bias (biased allocation to interventions) due to inadequate generation of a randomised sequence.Random sequence generation method should produce comparable groups.Not described in sufficient detail.JudgementRandom sequence generation

High.

Low.

Unclear.

Selection bias Allocation concealment Described the method used to conceal the allocation sequence in sufficient detail to determine whether intervention allocations could have been foreseen in advance of, or during, enrolment. Reviewer comments: Selection bias (biased allocation to interventions) due to inadequate concealment of allocations prior to assignment.Intervention allocations likely could not have been foreseen in advance of, or during, enrolment.Not described in sufficient detail.JudgementAllocation concealment

High.

Low.

Unclear.

Reporting bias Selective reporting Stated how the possibility of selective outcome reporting was examined by the authors and what was found. Reviewer comments: Reporting bias due to selective outcome reporting.Selective outcome reporting bias not detected.Insufficient information to permit judgement (It is likely that the majority of studies will fall into this category.).JudgementSelective reporting

High.

Low.

Unclear.

Other bias Other sources of bias Any important concerns about bias not addressed above. If particular questions/entries were prespecified in the study’s protocol, responses should be provided for each question/entry. Reviewer comments: Bias due to problems not covered elsewhere in the table.No other bias detected.There may be a risk of bias, but there is either insufficient information to assess whether an important risk of bias exists, or insufficient rationale or evidence that an identified problem will introduce bias.JudgementOther sources of bias

High.

Low.

Unclear.

Use this form to assess risk of bias for randomised controlled trials.

Bias is assessed as a judgement (high, low or unclear) for individual elements from five domains (selection, performance, attrition, reporting and other).

Risk of selection, reporting and other bias are assessed in the Quality Assessment Form Part I. Risk of performance, detection and attrition bias are assessed using the Quality Assessment Form Part II.

Table 6

Cochrane Collaboration modified tool for assessing risk of bias for randomised controlled trials, part II

Using the guidance provided at the end of this form, select either ‘high’, ‘low’ or ‘unclear’ for each judgement. Risk of bias for the domains in the Quality Assessment Form Part II will be assessed for each main or class of outcomes. Please indicate the specific outcome and complete the assessment for each.REF ID:
Outcomes
DomainDescriptionHigh risk of biasLow risk of biasUnclear risk of biasReviewer assessment
Performance bias Blinding (participants and personnel) Described all measures used, if any, to blind study participants and personnel from knowledge of which intervention a participant received. Provided any information relating to whether the intended blinding was effective. Reviewer comments: Performance bias due to knowledge of the allocated interventions by participants and personnel during the study.Blinding was likely effective.Not described in sufficient detail.JudgementBlinding (participants and personnel)

High.

Low.

Unclear.

Detection bias Blinding (outcome assessment) Described all measures used, if any, to blind outcome assessors from knowledge of which intervention a participant received. Provided any information relating to whether the intended blinding was effective. Reviewer comments: Detection bias due to knowledge of the allocated interventions by outcome assessors.Blinding was likely effective.Not described in sufficient detail.JudgementBlinding (outcome assessment)

High.

Low.

Unclear.

Attrition bias Incomplete outcome data Described the completeness of outcome data for each main outcome, including attrition and exclusions from the analysis. Stated whether attrition and exclusions were reported, the numbers in each intervention group (compared with total randomised participants), reasons for attrition/exclusions where reported. Reviewer comments: Attrition bias due to amount, nature or handling of incomplete outcome data.Handling of incomplete outcome data was complete and unlikely to have produced bias.Insufficient reporting of attrition/exclusions to permit judgement of ‘Low risk’ or ‘High risk’ (eg, number randomised not stated, no reasons for missing data provided).JudgementIncomplete outcome data

High.

Low.

Unclear.

Use this form to assess risk of bias for randomised controlled trials.

Bias is assessed as a judgement (high, low or unclear) for individual elements from five domains of bias (selection, performance, attrition, reporting and other).

  14 in total

Review 1.  Pregnancy outcomes in women with sickle-cell disease in low and high income countries: a systematic review and meta-analysis.

Authors:  T K Boafor; E Olayemi; N Galadanci; C Hayfron-Benjamin; Y Dei-Adomakoh; C Segbefia; A A Kassim; M H Aliyu; H Galadanci; M G Tuuli; M Rodeghier; Michael R DeBaun; S A Oppong
Journal:  BJOG       Date:  2015-12-15       Impact factor: 6.531

2.  Antenatal iron supplementation in sickle cell disease.

Authors:  O O Akinyanju; S N Nnatu; O K Ogedengbe
Journal:  Int J Gynaecol Obstet       Date:  1987-12       Impact factor: 3.561

Review 3.  Iron in sickle cell disease: a review why less is better.

Authors:  Prasad Rao Koduri
Journal:  Am J Hematol       Date:  2003-05       Impact factor: 10.047

4.  Global epidemiology of haemoglobin disorders and derived service indicators.

Authors:  Bernadette Modell; Matthew Darlison
Journal:  Bull World Health Organ       Date:  2008-06       Impact factor: 9.408

5.  Iron deficiency anaemia in sickle cell disorders in India.

Authors:  D Mohanty; M B Mukherjee; R B Colah; M Wadia; K Ghosh; G P Chottray; D Jain; Y Italia; K Ashokan; R Kaul; D K Shukla; V Muthuswamy
Journal:  Indian J Med Res       Date:  2008-04       Impact factor: 2.375

Review 6.  Iron homeostasis during pregnancy.

Authors:  Allison L Fisher; Elizabeta Nemeth
Journal:  Am J Clin Nutr       Date:  2017-10-25       Impact factor: 7.045

Review 7.  Iron status in pregnant women and women of reproductive age in Europe.

Authors:  Nils Milman; Christine L Taylor; Joyce Merkel; Patsy M Brannon
Journal:  Am J Clin Nutr       Date:  2017-10-25       Impact factor: 7.045

Review 8.  Pregnancy and sickle cell disease: A review of the current literature.

Authors:  Can Boga; Hakan Ozdogu
Journal:  Crit Rev Oncol Hematol       Date:  2015-11-27       Impact factor: 6.312

9.  Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation.

Authors:  Larissa Shamseer; David Moher; Mike Clarke; Davina Ghersi; Alessandro Liberati; Mark Petticrew; Paul Shekelle; Lesley A Stewart
Journal:  BMJ       Date:  2015-01-02

10.  Sickle cell disease in pregnancy: trend and pregnancy outcomes at a tertiary hospital in Tanzania.

Authors:  Projestine S Muganyizi; Hussein Kidanto
Journal:  PLoS One       Date:  2013-02-13       Impact factor: 3.240

View more
  1 in total

1.  Iron stores in pregnant women with sickle cell disease: a systematic review.

Authors:  Desmond Aroke; Benjamin Momo Kadia; Tsi Njim
Journal:  BMC Pregnancy Childbirth       Date:  2020-10-16       Impact factor: 3.007

  1 in total

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