Evidence map›Paper›PMID 39289759›Full record

SynthesisJournal of health, population, and nutrition2024

Uncovering the hidden health burden: a systematic review and meta-analysis of iron deficiency anemia among adolescents, and pregnant women in Pakistan.

Benazir Mahar, Tazeen Shah, Khalida Shaikh, Saima Naz Shaikh, Arsalan Ahmed Uqaili, Khalida Naz Memon, Jamshed Warsi, Rozina Mangi, Sani Aliyu, Qamar Abbas and 1 more

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of health, population, and nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

11 authors.

Benazir MaharDepartment of Community Health, University Putra Malaysia, Serdang, Selangor, Malaysia. beenafs@hotmail.com.
Tazeen ShahDepartment of Physiology, Liaquat University of Medical and Health Sciences (LUMHS), Jamshoro, Sindh, Pakistan.
Khalida ShaikhDepartment of Physiology, Liaquat University of Medical and Health Sciences (LUMHS), Jamshoro, Sindh, Pakistan.
Saima Naz ShaikhDepartment of Physiology, Liaquat University of Medical and Health Sciences (LUMHS), Jamshoro, Sindh, Pakistan.
Arsalan Ahmed UqailiDepartment of Physiology, Liaquat University of Medical and Health Sciences (LUMHS), Jamshoro, Sindh, Pakistan.
Khalida Naz MemonDepartment of Community Medicine, Liaquat University of Medical and Health Sciences (LUMHS), Jamshoro, Sindh, Pakistan.
Jamshed WarsiDepartment of Physiology, University of Sindh, Jamshoro, Pakistan.
Rozina MangiDepartment of Physiology, Bilawal Medical College, Jamshoro, Sindh, Pakistan.
Sani AliyuDepartment of Microbiology, Faculty of Natural and Applied Science, Umaru Musa Yar'adua University, Katsina, Nigeria.
Qamar AbbasDepartment of Biology, College of Science University of Bahrain, Manama, Bahrain.
Farheen ShaikhDepartment of Biochemistry, Peoples University of Medical and Health Sciences for Women Nawab Shah-Shaheed Benazir Abad, Nawabshah, Sindh, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIron deficiency anemia (IDA) is the most prevalent diet-related disorder and mainly affects women and children. To determine the trend of anemia incidence in Pakistan, a current review was carried out. This review aimed to estimate the prevalence of anemia among pregnant women and adult/adolescent nonpregnant women in Pakistan and to provide a 15-year trend analysis. MATERIALS AND

methodsStudies were identified by searching PubMed, Google Scholar, Scopus, and Science Direct, complementing this digital exploration, and a manual review of reference lists from previously published prevalence studies was performed to enhance the scope of relevant articles. A total of twenty-seven population-based anemia studies on adolescent/adult females and pregnant women published in Pakistan from January 1st-2007 until December 2021 were included. Systematic data extraction was facilitated through the implementation of a standardized and rigorously pretested data extraction checklist. For the subsequent analysis, the sophisticated capabilities of R statistical software were harnessed. The I

resultsThe final analysis included 27 research articles as well as two extensive National Nutrition survey reports, NNS 2011 and NNS 2018. The forest plot of sixteen studies on pregnant women revealed that the overall pooled prevalence of anemia among pregnant females in Pakistan was 70.4% (95% CI: 0.619, 0.789), and the forest plot of eleven studies on non-pregnant adolescent and adult females reported the pooled prevalence was 54.6% (95% CI: 0.422, 0.669). Subgroup analysis among pregnant women based on region, trimester and socioeconomic status revealed that the highest anemia incidence was observed in Punjab (77.4%). Similarly, females in the second trimester reported a higher prevalence of anemia 78% (95% CI, 0.556 1.015), and the status-wise group with a mixed background reported a higher prevalence 72.8% (95% CI, 0.620 0.835). According to the subgroup analysis, eleven studies of adult nonpregnant groups of mixed socioeconomic status reported a higher prevalence of 56.9% (95% CI, 0.292 0.845).

conclusionIn Pakistan, anemia, is widespread among pregnant women and nonpregnant adolescent/adult females. A deeper understanding of anemia in Pakistani women is necessary for targeted interventions and policy decisions to predict demographic shifts.

Indexed as

Anemia, Iron-DeficiencyPregnancy Complications, HematologicAdolescentAdultCost of IllnessFemaleHumansPakistanPregnancyPrevalenceYoung AdultAdolescent femalesAnemiaIron deficiencyPakistanPregnancy

Identifiers

PMID39289759
PMCPMC11409484

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Registered trials

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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.