Evidence map›Paper›PMID 39451629›Full record

ReviewDiagnostics (Basel, Switzerland)2024

Iron Deficiency Anaemia in Pregnancy: A Narrative Review from a Clinical Perspective.

Chidi Obianeli, Khaled Afifi, Simon Stanworth, David Churchill

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Observational
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. 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

4 authors.

Chidi ObianeliThe Royal Wolverhampton NHS Trust, New Cross Hospital, Wednesfield, Wolverhampton WV10 0QP, UK.
Khaled AfifiThe Royal Wolverhampton NHS Trust, New Cross Hospital, Wednesfield, Wolverhampton WV10 0QP, UK.
Simon StanworthNHS Blood and Transplant, Oxford OX3 9DU, UK.
David ChurchillThe Royal Wolverhampton NHS Trust, New Cross Hospital, Wednesfield, Wolverhampton WV10 0QP, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anaemia in pregnancy is a global problem of significance in all settings. The most common cause is iron deficiency. Large numbers of women are affected, ranging up to 25-30% antenatally and 20-40% postnatally. It is associated with serious adverse outcomes for both the mother and her baby. The risk of low birth weight, preterm birth, postpartum haemorrhage, stillbirth, and neonatal death are all increased in the presence of anaemia. For the infants of affected pregnancies, complications may include neurocognitive impairment. Making an accurate diagnosis during pregnancy has its challenges, which include the choice of thresholds of haemoglobin below which a diagnosis of anaemia in each trimester of pregnancy can be made and, aligned with this question, which are the most appropriate biomarkers to use to define iron deficiency. Treatment with oral iron supplements increases the haemoglobin concentration and corrects iron deficiency. But high numbers of women fail to respond, probably due to poor adherence to medication, resulting from side effects. This has resulted in an increased use of more expensive intravenous iron. Doubts remain about the optimal regimen to of oral iron for use (daily, alternate days, or some other frequency) and the cost-effectiveness of intravenous iron. There is interest in strategies for prevention but these have yet to be proven clinically safe and effective.

Indexed as

anaemiahepcidinironoutcomesphysiologypregnancypreventionstillbirththresholdtreatment

Identifiers

PMID39451629
PMCPMC11506382

What OpenQuestion holds

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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.