Evidence map›Paper›PMID 29471802›Full record

ArticleBMC pregnancy and childbirth2018

The short-term economic burden of gestational diabetes mellitus in Italy.

Michela Meregaglia, Livia Dainelli, Helen Banks, Chiara Benedetto, Patrick Detzel, Giovanni Fattore

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 5 pooled it
–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

19 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Insulin Use During Gestational and Pre-existing Diabetes in Pregnancy: A Systematic Review of Study Design.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2024
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

6 authors.

Michela MeregagliaCERGAS (Centre for Research on Health and Social Care Management), Bocconi University, Via Roentgen 1, 20136, Milan, Italy. michela.meregaglia@unibocconi.it.ORCID 0000-0003-0092-5970
Livia DainelliNestlé Research Center, Nestec SA, Route du Jorat 57, 1000, Lausanne, Switzerland.
Helen BanksCERGAS (Centre for Research on Health and Social Care Management), Bocconi University, Via Roentgen 1, 20136, Milan, Italy.
Chiara BenedettoDepartment of Gynecology & Obstetrics, S. Anna Hospital, University of Turin, Via Ventimiglia 3, 10126, Turin, Italy.
Patrick DetzelNestlé Research Center, Nestec SA, Route du Jorat 57, 1000, Lausanne, Switzerland.
Giovanni FattoreCERGAS (Centre for Research on Health and Social Care Management), Bocconi University, Via Roentgen 1, 20136, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence of Gestational Diabetes Mellitus (GDM) is rising in all developed countries. This study aimed at assessing the short-term economic burden of GDM from the Italian healthcare system perspective.

methodsA model was built over the last pregnancy trimester (i.e., from the 28th gestational week until childbirth included). The National Hospital Discharge Database (2014) was accessed to estimate delivery outcome probabilities and inpatient costs in GDM and normal pregnancies (i.e., euglycemia). International Classification of Disease-9th Revision-Clinical Modification (ICD9-CM) diagnostic codes and Diagnosis-Related Group (DRG) codes were used to identify GDM cases and different types of delivery (i.e., vaginal or cesarean) within the database. Neonatal outcomes probabilities were estimated from the literature and included macrosomia, hypoglycemia, hyperbilirubinemia, shoulder dystocia, respiratory distress, and brachial plexus injury. Additional data sources such as regional documents, official price and tariff lists, national statistics and expert opinion were used to populate the model. The average cost per case was calculated at national level to estimate the annual economic burden of GDM. One-way sensitivity analyses and Monte Carlo simulations were performed to quantify the uncertainty around base case results.

resultsThe amount of pregnancies complicated by GDM in Italy was assessed at 54,783 in 2014 using a prevalence rate of 10.9%. The antenatal outpatient cost per case was estimated at €43.7 in normal pregnancies compared to €370.6 in GDM patients, which is equivalent to a weighted sum of insulin- (14%; €1034.6) and diet- (86%; €262.5) treated women's costs. Inpatient delivery costs were assessed at €1601.6 and €1150.3 for euglycemic women and their infants, and at €1835.0 and €1407.7 for GDM women and their infants, respectively. Thus, the overall cost per case difference between GDM and normal pregnancies was equal to €817.8 (+ 29.2%), resulting in an economic burden of about €44.8 million in 2014 at national level. Probabilistic sensitivity analysis yielded a cost per case difference ranging between €464.9 and €1164.8 in 80% of simulations.

conclusionsThe economic burden of GDM in Italy is substantial even accounting for short-term medical costs only. Future research also addressing long-term consequences from a broader societal perspective is recommended.

Indexed as

Delivery, ObstetricDiabetes, GestationalAdultCost of IllnessFemaleHealth Care CostsHumansInfant HealthItalyPatient DischargePregnancyPregnancy OutcomePregnancy Trimester, ThirdCostsDelivery outcomesGestational diabetes mellitus (GDM)Hospital discharge database (HDD)Italy

Identifiers

PMID29471802
PMCPMC5824573

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.