Evidence map›Paper›PMID 40584802›Full record

ArticleJournal of obstetrics and gynaecology of India2025

Outcome of Early Severe Alloimmunised Pregnancies.

Kamaldeep Bains, Subhas Chandra Saha, Neelam Aggarwal, Ashish Jain, Shivsajan Saini, Anil Eragam

Abstract read
In one paragraph

Article in Journal of obstetrics and gynaecology of India, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kamaldeep BainsDepartment of Obstetrics and Gynaecology, PGIMER, Chandigarh, 160012 India.
Subhas Chandra SahaDepartment of Obstetrics and Gynaecology, PGIMER, Chandigarh, 160012 India.
Neelam AggarwalDepartment of Obstetrics and Gynaecology, PGIMER, Chandigarh, 160012 India.
Ashish JainDepartment of Transfusion Medicine, PGIMER, Chandigarh, 160012 India.
Shivsajan SainiDepartment of Neonatology, PGIMER, Chandigarh, 160012 India.
Anil EragamDepartment of Telemedicine, PGIMER, Chandigarh, 160012 India.ORCID 0000-0003-1275-5630

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To evaluate the perinatal outcome of early severely alloimmunised pregnancies. Methods: This was a prospective observational comparative study of all Rh alloimmunised women who required IUT in less than 26 weeks of gestation. Outcome measures such as abortion, stillbirth, perinatal survival, and neonatal outcomes were compared with those who required IUT after 26 weeks gestation. Thinner needle (22G) and intrahepatic route preferentially were used for early transfusions. Results: Out of forty-four patients, 22 required transfusion at early gestation. A total of 152 IUT's were given in both groups. Mean number of IUT's was 4.5 ± 2 and 2.2 ± 1.4 in early and late group, respectively. There were two abortions in early group. One stillbirth occurred each in early & late groups while there were three neonatal deaths in late group. Hydropic foetuses were more likely to survive when they were treated early in gestation (80% vs. 66%). Take-home baby rate was 86.3% in early group which was higher than in late transfusion group (82.6%). Conclusion: Proper technique and appropriate skill can reduce early IUT complications and improve survival. Results can be as good as those of foetuses who have late transfusions. Hydrops foetuses are more likely to survive if diagnosed and treated early.

Indexed as

HydropsIndirect Coombs testIntrauterine transfusionRh alloimmunisation

Identifiers

PMID40584802
PMCPMC12205109

What OpenQuestion holds

Textmetadata
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.