Evidence map›Paper›PMID 31822529›Full record

ArticleBMJ case reports2019

Hyponatraemia: the importance of obtaining a detailed history and corroborating point-of-care analysis with laboratory testing.

Su Yin Lim, Neil Bodagh, Gregory Scott, Neil E Hill

Open access · greenAbstract 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 32% 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, 7 citations in OpenAlex.

  1. 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.

Su Yin LimAcute Medicine, Charing Cross Hospital, Imperial College Healthcare NHS Trust, London, UK suyin.lim1@nhs.net.
Neil BodaghAcute Medicine, Charing Cross Hospital, Imperial College Healthcare NHS Trust, London, UK.ORCID http://orcid.org/0000-0001-5475-5298
Gregory ScottNeurology, Charing Cross Hospital, Imperial College Healthcare NHS Trust, London, UK.
Neil E HillEndocrinology & Diabetes, Charing Cross Hospital, Imperial College Healthcare NHS Trust, London, UK.
Imperial College Healthcare NHS Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe a 67-year-old man admitted from a mental health unit with an incidental finding of hyponatraemia on routine blood tests. Laboratory investigations were in keeping with syndrome of inappropriate antidiuretic hormone secretion (SIADH). He had been recently commenced on mirtazapine. During his inpatient stay, he became increasingly confused. Review of a previous admission with hyponatraemia raised the possibility of voltage-gated potassium channel antibody-associated limbic encephalitis, although subsequent investigations deemed this unlikely as a cause of hyponatraemia. Although his sodium levels improved with fluid restriction, serial point-of-care testing proved misleading in monitoring the efficacy of treatment as inconsistencies were seen in comparison with laboratory testing. The cause of hyponatraemia may have been medication-induced SIADH and/or polydipsia. This case highlights the importance of collating detailed histories and laboratory blood testing to guide management in cases of hyponatraemia of unknown aetiology.

Indexed as

AgedConfusionHumansHyponatremiaInappropriate ADH SyndromeMaleMedical History TakingMirtazapinePoint-of-Care SystemsPolydipsiaPsychotropic DrugsSpinal PunctureSuicidal IdeationTreatment OutcomeMirtazapinePsychotropic Drugsdrugs: psychiatryendocrinologyneuroendocrinology

Identifiers

PMID31822529
PMCPMC6904149
OpenAlexW2996676512

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.