ArticleClinical epidemiology2022
The Association Between Severity of Anemia During Pregnancy and Severe Maternal Outcomes: A Retrospective Cohort Study.
Article in Clinical epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed, 3 citations in OpenAlex.
- Areca Nut Chewing as a Modifiable Risk Factor for Maternal Anemia, Prematurity and Fetal Low Birth Weight: A Cross Sectional Study in Teluk Wondama, West Papua.International journal of women's health · 2026Article
- Relationships between hemoglobin levels at admission and adverse maternal and perinatal outcomes in patients with preeclampsia.PloS one · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Anemia is a worldwide common condition during pregnancy, conferring a number of health risks to mothers. However, very little is known about the association between severity of anemia and severe maternal outcomes. This study aimed to assess the association between severity of anemia during pregnancy and the risk of severe maternal outcomes. Patients and Methods: This retrospective cohort study was based on data from China's National Maternal Near Miss Surveillance System for the period 2017-2018, which included 18 hospitals in southern China. Pregnant women admitted for delivery were divided into 4 groups based on severity of anemia during pregnancy: no anemia, mild anemia, moderate anemia, and severe anemia groups. Severe maternal outcomes were a composite of life-threatening conditions (ie, organ dysfunction) as defined by the WHO criteria, occurring at any time after admission until discharge or death. Modified Poisson regression analyses and propensity score-weighted regression analyses were used to estimate the relative risks (RRs) and 95% confidence intervals (CIs) of severe maternal outcomes among women with anemia of varying severity during pregnancy. Results: The incidence of severe maternal outcomes was 0.3% (417/138,556) in total, and the rates were 0.1% (85/99,755), 0.2% (30/18,502), 1.2% (234/19,697) and 11.3% (68/602) in no anemia, mild anemia, moderate anemia and severe anemia group, respectively. Compared with no anemia, the adjusted RR for severe maternal outcomes was 4.19 (95% CI, 3.20-5.50) in moderate anemia group and 22.12 (95% CI, 15.43-31.69) in severe anemia group; the weighted RR was 1.01 (95% CI, 1.01-1.01) in moderate anemia group and 1.11 (95% CI, 1.07-1.14) in severe anemia group. Conclusion: Moderate to severe anemia during pregnancy was independently associated with an increased risk of severe maternal outcomes. Maternal health care providers and pregnant women themselves should give more attention to the prevention and treatment of anemia during pregnancy, especially moderate to severe anemia.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.