Evidence map›Paper›PMID 17177048›Full record

ArticleIntensive care medicine2007

Introduction and evaluation of a computerised insulin protocol.

Iwan A Meynaar, Lilian Dawson, Peter L Tangkau, Eduard F Salm, Lode Rijks

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in Intensive care medicine, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
5.2field-weighted citation impact, top 4% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Iwan A MeynaarIntensive Care Unit, Reinier de Graaf Hospital, PO Box 5011, 2600 GA, Delft, Netherlands. meynaar@rdgg.nl
Lilian Dawson
Peter L Tangkau
Eduard F Salm
Lode Rijks
Reinier de Graaf Hospital · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo lower glucose levels in all patients in the intensive care unit (ICU) to the target range of 4.5-7.5 mmol/l using a nurse-driven computerised insulin protocol in combination with bedside glucose measurement.

designCohort study.

settingMixed adult ICU. PATIENTS AND

participantsAll 182 patients admitted to the ICU during a 3-month period were studied, except for 3 patients admitted for diabetic keto-acidosis.

interventionsFive steps were taken to improve glucose regulation: (1) Nurses were authorised to adjust insulin dosage using a protocol. (2) Glucose was measured more often. (3) Glucose was measured at the bedside. (4) Consecutive protocols aimed for successively lower glucose levels; the final protocol had a target range of 4.5-7.5 mmol/l. (5) The protocol was computerised. MEASUREMENTS AND

resultMean glucose decreased from 9.23 mmol/l without protocol to 7.68 mmol/l with the final protocol. This final protocol with the target of 4.5-7.5 mmol/l was evaluated more extensively. Glucose levels were measured a total of 1854 times in 179 ICU admissions during 552 ICU treatment days. The median glucose level was 7.0 mmol/l, and 53.1% of glucose measurements were within the target range of 4.5-7.5 mmol/l. One episode of hypoglycaemia (glucose </= 2.2 mmol/l) occurred, representing 0.5% of patients or 0.05% of glucose measurements.

conclusionsThe combined strategy of successively more ambitious nurse-driven (computerised) insulin protocols and bedside glucose measurement resulted in acceptably low glucose levels with very few episodes of hypoglycaemia.

Indexed as

Blood GlucoseAdolescentAdultAgedAged, 80 and overAlgorithmsAPACHEDiabetes MellitusFemaleHospital MortalityHumansInsulinIntensive Care UnitsMaleMiddle AgedMonitoring, PhysiologicBlood GlucoseInsulin

Identifiers

PMID17177048
OpenAlexW1978911821

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.