The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Passive leg raising for predicting fluid responsiveness: a systematic review and meta-analysis
Abstract
PurposeWe performed a systematic review and meta-analysis of studies investigating the passive leg raising (PLR)-induced changes in cardiac output (CO) and in arterial pulse pressure (PP) as predictors of fluid responsiveness in adults.MethodsMEDLINE, EMBASE and Cochrane Database were screened for relevant original and review articles. The meta-analysis determined the pooled area under the ROC curve, the sensitivity, specificity and threshold for the PLR test when assessed with CO and PP.ResultsTwenty-one studies (991 adult patients, 995 fluid challenges) were included. CO was measured by echocardiography in six studies, calibrated pulse contour analysis in six studies, bioreactance in four studies, oesophageal Doppler in three studies, transpulmonary thermodilution or pulmonary artery catheter in one study and suprasternal Doppler in one study. The pooled correlation between the PLR-induced and the fluid-induced changes in CO was 0.76 (0.73–0.80). For the PLR-induced changes in CO, the pooled sensitivity was 0.85 (0.81–0.88) and the pooled specificity was 0.91 (0.88–0.93). The area under the ROC curve was 0.95 ± 0.01. The best threshold was a PLR-induced increase in CO ≥10 ± 2 %. For the PLR-induced changes in PP (8 studies, 432 fluid challenges), the pooled sensitivity was 0.56 (0.49–0.53), the pooled specificity was 0.83 (0.77–0.88) and the pooled area under the ROC curve was 0.77 ± 0.05. Sensitivity and subgroup analysis were consistent with the primary analysis.ConclusionsPLR-induced changes in CO very reliably predict the response of CO to volume expansion in adults with acute circulatory failure. When PLR effects are assessed by changes in PP, the specificity of the PLR test remains acceptable but its sensitivity is poor.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies
Whiting, P. F., Rutjes, A. W. S., Westwood, M. E., Mallett, S., Deeks, J. J., Reitsma, J. B., Leeflang, M. M. G., Sterne, J. A. C., Bossuyt, P. M. M., & the QUADAS-2 Group* (2011) · Annals of Internal Medicine · doi:10.7326/0003-4819-155-8-201110180-00009 · Cited by 14,199
Surviving Sepsis Campaign: International Guidelines for Management of Severe Sepsis and Septic Shock
Dellinger, R. P., Levy, M. M., Rhodes, A., Annane, D., Gerlach, H., Opal, S. M., Sevransky, J. E., Sprung, C. L., Douglas, I. S., Jaeschke, R., et al. (2013) · Critical Care Medicine · doi:10.1097/ccm.0b013e31827e83af · Cited by 9,694
The Surviving Sepsis Campaign Guidelines Committee including The Pediatric Subgroup*, Dellinger, R. P., Levy, M. M., Rhodes, A., Annane, D., Gerlach, H., Opal, S. M., Sevransky, J. E., Sprung, C. L., Douglas, I. S., et al. (2013) · Intensive Care Medicine · doi:10.1007/s00134-012-2769-8 · Cited by 7,290
Meta-DiSc: a software for meta-analysis of test accuracy data
Zamora, J., Abraira, V., Muriel, A., Khan, K., & Coomarasamy, A. (2006) · BMC Medical Research Methodology · doi:10.1186/1471-2288-6-31 · Cited by 1,883
Cecconi, M., De Backer, D., Antonelli, M., Beale, R., Bakker, J., Hofer, C., Jaeschke, R., Mebazaa, A., Pinsky, M. R., Teboul, J. L., et al. (2014) · Intensive Care Medicine · doi:10.1007/s00134-014-3525-z · Cited by 1,767
Self-citationPassive leg raising predicts fluid responsiveness in the critically ill*
Monnet, X., Rienzo, M., Osman, D., Anguel, N., Richard, C., Pinsky, M. R., & Teboul, J.-L. (2006) · Critical Care Medicine · doi:10.1097/01.ccm.0000215453.11735.06 · Cited by 952
Self-citationHemodynamic parameters to guide fluid therapy
Marik, P. E., Monnet, X., & Teboul, J.-L. (2011) · Annals of Intensive Care · doi:10.1186/2110-5820-1-1 · Cited by 686
Self-citationPassive leg raising: five rules, not a drop of fluid!
Monnet, X., & Teboul, J.-L. (2015) · Critical Care · doi:10.1186/s13054-014-0708-5 · Cited by 425
Self-citationLamia, B., Ochagavia, A., Monnet, X., Chemla, D., Richard, C., & Teboul, J.-L. (2007) · Intensive Care Medicine · doi:10.1007/s00134-007-0646-7 · Cited by 393
Self-citationCavallaro, F., Sandroni, C., Marano, C., La Torre, G., Mannocci, A., De Waure, C., Bello, G., Maviglia, R., & Antonelli, M. (2010) · Intensive Care Medicine · doi:10.1007/s00134-010-1929-y · Cited by 386
Cited by
Surviving Sepsis Campaign: International guidelines for management of sepsis and septic shock: 2016.
Rhodes, A., Evans, L. E., Alhazzani, W., Levy, M. M., Antonelli, M., Ferrer, R., Kumar, A., Sevransky, J. E., Sprung, C. L., Nunnally, M. E., et al. (2017) · Intensive Care Medicine · doi:10.1007/s00134-017-4683-6 · Cited by 6,621
Surviving Sepsis Campaign: International guidelines for management of sepsis and septic shock: 2016.
Rhodes, A., Evans, L. E., Alhazzani, W., Levy, M. M., Antonelli, M., Ferrer, R., Kumar, A., Sevransky, J. E., Sprung, C. L., Nunnally, M. E., et al. (2017) · Critical Care Medicine · doi:10.1097/ccm.0000000000002255 · Cited by 3,652
Early Restrictive or Liberal Fluid Management for Sepsis-Induced Hypotension
The National Heart, L. (2023) · New England Journal of Medicine · doi:10.1056/nejmoa2212663 · Cited by 427
How can assessing hemodynamics help to assess volume status?
De Backer, D., Aissaoui, N., Cecconi, M., Chew, M. S., Denault, A., Hajjar, L., Hernandez, G., Messina, A., Myatra, S. N., Ostermann, M., et al. (2022) · Intensive Care Medicine · doi:10.1007/s00134-022-06808-9 · Cited by 199
Self-citationTop 10 pearls for the recognition, evaluation, and management of maternal sepsis
Shields, A., de Assis, V., & Halscott, T. (2021) · Obstetrics & Gynecology · doi:10.1097/aog.0000000000004471 · Cited by 76
Metadata
- Authors
- Monnet, X., Marik, P., & Teboul, J.-L.
- Venue
- Intensive Care Medicine
- Published
- 2016-01-29
- Volume
- 42
- Issue
- 12
- Pages
- 1935-1947
- ISSN
- 0342-4642 (ISSN-L)
- 1432-1238
- OpenAlex
- W2260276881
- Cited by
- 482
- References
- 47
- FWCI
- 9.40
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Passive leg raising for predicting fluid responsiveness: a systematic review and meta-analysis. https://app.cochat.ai/papers/10.1007/s00134-015-4134-1
- The paper
- Monnet, X., Marik, P., & Teboul, J.-L. (2016). Passive leg raising for predicting fluid responsiveness: a systematic review and meta-analysis. Intensive Care Medicine. https://doi.org/10.1007/s00134-015-4134-1
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
