Evidence map›Paper›PMID 26886600›Full record

Observational studyMedicine2016

Bedside Lung Ultrasound During Acute Chest Syndrome in Sickle Cell Disease.

Keyvan Razazi, Jean-François Deux, Nicolas de Prost, Florence Boissier, Elise Cuquemelle, Frédéric Galactéros, Alain Rahmouni, Bernard Maître, Christian Brun-Buisson, Armand Mekontso Dessap

Registry-linked trialOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06755385 (Pilot Study on the Value of Bedside Pleuropulmonary Ultrasound in Patients With Sickle Cell Disease Presenting With Vaso-occlusive Crisis.), which is not on this map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% 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.

NCT06755385 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

Pilot Study on the Value of Bedside Pleuropulmonary Ultrasound in Patients With Sickle Cell Disease Presenting With Vaso-occlusive Crisis.

TypeobservationalSponsorUniversity Hospital, GrenobleRan2025 to 2026Enrolled25ConditionsSickle Cell DiseaseArmsPleuropulmonary ultrasound
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

10 authors at 1 institution in 1 country.

Keyvan RazaziFrom the Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Henri Mondor, DHU A-TVB, Service de Réanimation Médicale (KR, NdP, FB, EC, CB-B, AMD); UPEC, Faculté de Médecine de Créteil, IMRB, GRC CARMAS (KR, NdP, BM, CB-B, AMD); UPEC, Faculté de Médecine de Créteil (J-FD, FG, AR); Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Henri Mondor, Service de Radiologie (J-FD, AR); Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Henri Mondor, Unité des Maladies Génétiques du Globule Rouge (FG); and Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Henri Mondor, DHU A-TVB, Antenne de Pneumologie, Service de Réanimation Médicale (BM), Créteil, France.
Jean-François Deux
Nicolas de Prost
Florence Boissier
Elise Cuquemelle
Frédéric Galactéros
Alain Rahmouni
Bernard Maître
Christian Brun-Buisson
Armand Mekontso Dessap
Université Paris-Est Créteil · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung ultrasound (LU) is increasingly used to assess pleural and lung disease in intensive care unit (ICU) and emergency unit at the bedside. We assessed the performance of bedside chest radiograph (CR) and LU during severe acute chest syndrome (ACS), using computed tomography (CT) as the reference standard. We prospectively explored 44 ACS episodes (in 41 patients) admitted to the medical ICU. Three imaging findings were evaluated (consolidation, ground-glass opacities, and pleural effusion). A score was used to quantify and compare loss of lung aeration with each technique and assess its association with outcome. A total number of 496, 507, and 519 lung regions could be assessed by CT scan, bedside CR, and bedside LU, respectively. Consolidations were the most common pattern and prevailed in lung bases (especially postero-inferior regions). The agreement with CT scan patterns was significantly higher for LU as compared to CR (κ coefficients of 0.45 ± 0.03 vs 0.30 ± 0.03, P < 0.01 for the parenchyma, and 0.73 ± 0.08 vs 0.06 ± 0.09, P < 0.001 for pleural effusion). The Bland and Altman analysis showed a nonfixed bias of -1.0 (P = 0.12) between LU score and CT score whereas CR score underestimated CT score with a fixed bias of -5.8 (P < 0.001). The specificity for the detection of consolidated regions or pleural effusion (using CT scan as the reference standard) was high for LU and CR, whereas the sensitivity was high for LU but low for CR. As compared to others, ACS patients with an LU score above the median value of 11 had a larger volume of transfused and exsanguinated blood, greater oxygen requirements, more need for mechanical ventilation, and a longer ICU length of stay. LU outperformed CR for the diagnosis of consolidations and pleural effusion during ACS. Higher values of LU score identified patients at risk of worse outcome.

Indexed as

Acute Chest SyndromeAdultAnemia, Sickle CellFemaleHumansIntensive Care UnitsLungMalePoint-of-Care SystemsProspective StudiesSensitivity and SpecificityTomography, X-Ray ComputedUltrasonography

Identifiers

PMID26886600
PMCPMC4998600
OpenAlexW2312191965

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.