Evidence map›Paper›PMID 31822528›Full record

ArticleBMJ case reports2019

Kangaroo mother care: need of the day.

Rubina Sohail, Noreen Rasul, Ammara Naeem, Humayun Iqbal Khan

Abstract readCase Reports
In one paragraph

Article in BMJ case reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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.

Rubina SohailObstetrics and Gynaecology, Services Institute of Medical Sciences, Lahore, Pakistan rubina95@gmail.com.
Noreen RasulObstetrics and Gynaecology, Services Institute of Medical Sciences, Lahore, Pakistan.
Ammara NaeemPaediatrics, Services Institute of Medical Sciences, Lahore, Pakistan.
Humayun Iqbal KhanPaediatrics, Services Institute of Medical Sciences, Lahore, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Each year approximately 20 million low birthweight babies are born globally. Prematurity is a leading cause of neonatal mortality in developing countries and results in 60%-80% of neonatal deaths. Neonatal mortality is the major contributor to under-5 mortality. According to Pakistan Demographic and Health Survey 2017-2018, neonatal mortality in Pakistan is 42 per 1000 live births and under-5 mortality is 74 per 1000 live births. One out of every 22 newborns dies in Pakistan, which is an alarming figure. Majority of these deaths are preventable. They can be prevented by well-trained midwives, safe delivery, early initiation of breast feeding within an hour after birth and skin-to-skin contact. Pakistan is among the top 10 countries with the highest number of preterm births and with limited resources to manage the burden. Kangaroo mother care (KMC) is a safe and economical alternative to provide preterm care in developing countries. In babies at gestational age less than 37 weeks or with neonatal weight less than 2.5 kg, skin-to-skin contact prevents hypothermia and infection. Neonatal mortality and morbidity can be reduced by providing preterm care through KMC. This case report is of a preterm baby who was delivered at 33 weeks of gestation with a weight of 1.3 kg and was saved by KMC in the paediatric department of Services Hospital in Lahore.

Indexed as

Kangaroo-Mother Care MethodPregnancy, TripletSurvivorsBreast FeedingDirective CounselingFemaleHumansInfant, Low Birth WeightInfant, NewbornInfant, PrematureIntensive Care, NeonatalPregnancyTreatment OutcomeWeight Gainneonatal intensive carenutrition

Identifiers

PMID31822528
PMCPMC6904173

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.