The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Drape estimation vs. visual assessment for estimating postpartum hemorrhage
Abstract
OBJECTIVE: To compare (1) visual estimation of postpartum blood loss with estimation using a specifically designed blood collection drape and (2) the drape estimate with a measurement of blood loss by photospectrometry. METHODS: A randomized controlled study was performed with 123 women delivered at the District Hospital, Belgaum, India. The women were randomized to visual or drape estimation of blood loss. A subsample of 10 drape estimates was compared with photospectrometry results. RESULTS: The visual estimate of blood loss was 33% less than the drape estimate. The interclass correlation of the drape estimate to photospectrometry measurement was 0.92. CONCLUSION: Drape estimation of blood loss is more accurate than visual estimation and may have particular utility in the developing world. Prompt detection of postpartum hemorrhage may reduce maternal morbidity and mortality in low-resource settings.
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
Blood volume changes in pregnancy and the puerperium
Pritchard, J. A., Baldwin, R. M., Dickey, J. C., Wiggins, K. M., Reed, G. P., & Bruce, D. M. (1962) · American Journal of Obstetrics and Gynecology · doi:10.1016/s0002-9378(16)35734-9 · Cited by 222
Duthie, S. J., Ven, D., Yung, G. L. K., Guang, D. Z., Chan, S. Y. W., & Ma, H.-K. (1991) · European Journal of Obstetrics & Gynecology and Reproductive Biology · doi:10.1016/0028-2243(91)90188-q · Cited by 200
Accuracy of the blood loss estimation in the third stage of labor
Prasertcharoensuk, W., Swadpanich, U., & Lumbiganon, P. (2000) · International Journal of Gynecology & Obstetrics · doi:10.1016/s0020-7292(00)00294-0 · Cited by 147
Maternal hemodynamics after normal delivery and delivery complicated by postpartum hemorrhage.
Robson, S. C., Boys, R. J., Hunter, S. K., & Dunlop, W. (1989) · PubMed · Cited by 57
Validation of a Laboratory Method of Measuring Postpartum Blood Loss
Chua, S., Ho, L. M., Vanaja, K., Nordström, L., Roy, A. C., & Arulkumaran, S. (1998) · Gynecologic and Obstetric Investigation · doi:10.1159/000009992 · Cited by 43
Blood Loss at Vaginal Delivery
Hill, J. A., Fadel, H. E., NELSON, M. C., et al. (1986) · Southern Medical Journal · doi:10.1097/00007611-198602000-00013 · Cited by 23
Cited by
National Partnership for Maternal Safety: Consensus Bundle on Obstetric Hemorrhage
Main, E. K., Goffman, D., Scavone, B. M., Low, L. K., Bingham, D., Fontaine, P. L., Gorlin, J. B., Lagrew, D. C., & Levy, B. S. (2015) · Anesthesia & Analgesia · doi:10.1097/aog.0000000000000869 · Cited by 372
Derman, R. J., Kodkany, B. S., Goudar, S. S., Geller, S. E., Naik, V. A., Bellad, M., Patted, S. S., Patel, A., Edlavitch, S. A., Hartwell, T., et al. (2006) · The Lancet · doi:10.1016/s0140-6736(06)69522-6 · Cited by 295
Self-citationShields, L. E., Wiesner, S., Fulton, J., & Pelletreau, B. (2015) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2014.07.012 · Cited by 276
Al Kadri, H. M. F., Al Anazi, B. K., & Tamim, H. M. (2011) · Archives of Gynecology and Obstetrics · doi:10.1007/s00404-010-1522-1 · Cited by 199
SORENSEN, B. L., RASCH, V., MASSAWE, S., NYAKINA, J., ELSASS, P., & NIELSEN, B. B. (2011) · Acta Obstetricia et Gynecologica Scandinavica · doi:10.1111/j.1600-0412.2011.01115.x · Cited by 67
Metadata
- Authors
- Patel, A., Goudar, S. S., Geller, S. E., Kodkany, B. S., Edlavitch, S. A., Wagh, K., Patted, S. S., Naik, V. A., Moss, N., & Derman, R. J.
- Venue
- International Journal of Gynecology & Obstetrics
- Publisher
- Wiley
- Published
- 2006-04-12
- Volume
- 93
- Issue
- 3
- Pages
- 220-224
- ISSN
- 0020-6695 (ISSN-L)
- 0020-7292
- OpenAlex
- W2147853013
- Cited by
- 299
- References
- 6
- FWCI
- 8.29
- 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: Drape estimation vs. visual assessment for estimating postpartum hemorrhage. https://app.cochat.ai/papers/10.1016/j.ijgo.2006.02.014
- The paper
- Patel, A., Goudar, S. S., Geller, S. E., Kodkany, B. S., Edlavitch, S. A., Wagh, K., Patted, S. S., Naik, V. A., Moss, N., & Derman, R. J. (2006). Drape estimation vs. visual assessment for estimating postpartum hemorrhage. International Journal of Gynecology & Obstetrics. https://doi.org/10.1016/j.ijgo.2006.02.014
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.
