Evidence map›Paper›PMID 28892994›Full record

ArticleJournal of clinical and diagnostic research : JCDR2017

Life Threatening Severe Hypernatraemic Dehydration in Neonates: A Report of Two Cases.

Priyaja Paramasivam, Sujay Kumar Earan, Arulkumaran Arunagirinadhan, Shilpa Kantamneni

Open access · goldAbstract readCase Reports
In one paragraph

Article in Journal of clinical and diagnostic research : JCDR, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 44% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. First-Day Use of the Newborn Weight Loss Tool to Predict Excess Weight Loss in Breastfeeding Newborns.Breastfeeding medicine : the official journal of the Academy of Breastfeeding Medicine · 2021
    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 at 1 institution in 1 country.

Priyaja ParamasivamPostgraduate Student, Department of Paediatrics, Sri Manakula Vinayagar Medical College and Hospital, Puducherry, India.
Sujay Kumar EaranAssistant Professor, Department of Paediatrics, Sri Manakula Vinayagar Medical College and Hospital, Puducherry, India.
Arulkumaran ArunagirinadhanProfessor, Department of Paediatrics, Sri Manakula Vinayagar Medical College and Hospital, Puducherry, India.
Shilpa KantamneniPostgraduate Student, Department of Paediatrics, Sri Manakula Vinayagar Medical College and Hospital, Puducherry, India.
Sri Manakula Vinayagar Medical College and Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypernatraemic dehydration in neonates may lead to potentially lethal consequences like cerebral oedema, intracranial haemorrhage, hydrocephalus and gangrene. In the light of increase in the infants presenting with hypernatraemic dehydration, there is a definitive need to heighten the awareness and have a high degree of suspicion in diagnosis for this potentially lethal condition. We report two neonates of severe hypernatraemia with dehydration highlighting its diagnosis and management. Treatment of hypernatraemic dehydration involves correction of electrolyte imbalance by careful restoration of fluids and ensuring appropriate intake of calories. Promoting, protecting and supporting breastfeeding by careful breastfeeding assessment and including an early post partum follow up in the hospital protocol to detect any unusual weight loss in the newborn period plays a significant role in preventing this condition.

Indexed as

Bottle feedingBreastfeedingEarly dischargeWeight loss

Identifiers

PMID28892994
PMCPMC5583917
OpenAlexW2744738277

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.