The DOI matches its Crossref record; 21 of the 22 references it cites were found in a registry or an index.
The phenotype of spontaneous preterm birth: application of a clinical phenotyping tool
Open accessAbstract
Objective Spontaneous preterm birth (SPTB) is a complex condition that is likely a final common pathway with multiple possible causes. We hypothesized that a comprehensive classification system appropriately could group women with similar STPB causes and could provide an explanation, at least in part, for the disparities in SPTB that are associated with race and gestational age at delivery.Study design This was a planned analysis of a multicenter, prospective study of singleton SPTBs. Women with SPTB at <34 weeks' gestation were included. We defined 9 potential SPTB phenotypes based on clinical data: infection/inflammation, maternal stress, decidual hemorrhage, uterine distention, cervical insufficiency, placental dysfunction, premature rupture of the membranes, maternal comorbidities, and familial factors. Each woman's condition was evaluated for each phenotype. Delivery gestational age was compared between those with and without each phenotype. Phenotype profiles were also compared between women with very early (20.0-27.9 weeks' gestation) SPTB vs those with early SPTB (28.0-34.0 weeks' gestation) and between African American and white women. Statistical analysis was by t test and χ(2) test, as appropriate.Results The phenotyping tool was applied to 1025 women with SPTBs who delivered at a mean 30.0 ± 3.2 (SD) weeks' gestation. Of these, 800 women (78%) had ≥2 phenotypes. Only 43 women (4.2%) had no phenotypes. The 281 women with early SPTBs were more likely to have infection/inflammation, decidual hemorrhage, and cervical insufficiency phenotypes (all P ≤ .001). African American women had more maternal stress and cervical insufficiency but less decidual hemorrhage and placental dysfunction compared with white women (all P < .05). Gestational age at delivery decreased as the number of phenotypes that were present increased.Conclusion Precise SPTB phenotyping classifies women with SPTBs and identifies specific differences between very early and early SPTB and between African American and white women.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“In fact, some form of maternal stress or distress (i.e., stressor exposure, financial strain, perceived stress, symptoms of depression or anxiety, maladaptive coping behaviors) was present during the current pregnancy among 56.6% of women giving birth before 34 weeks (Manuck et al., 2015).”
From Childhood stress and birth timing among African American women: cortisol as biological mediator (2017) · cites this paper as Manuck et al., 2015
In the citing paper
“A recent study examining nine diverse potential PTB phenotypes (e.g., inflammation, decidual hemorrhage) among 1,025 women identified maternal psychosocial stress as the most common phenotype underlying spontaneously-initiated PTB (Manuck et al., 2015).”
From Childhood stress and birth timing among African American women: cortisol as biological mediator (2017) · cites this paper as Manuck et al., 2015
In the citing paper
“Findings lend support to a large literature linking various forms of stress and distress to birth timing (e.g., Manuck et al., 2015) and add to a small literature implicating childhood stress in particular (Christiaens et al., 2015; Smith et al., 2016).”
From Childhood stress and birth timing among African American women: cortisol as biological mediator (2017) · cites this paper as Manuck et al., 2015
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
Blencowe, H., Cousens, S., Oestergaard, M. Z., Chou, D., Moller, A.-B., Narwal, R., Adler, A., Vera Garcia, C., Rohde, S., Say, L., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60820-4 · Cited by 4,568
Births: preliminary data for 2012.
Hamilton, B. E., Martin, J. A., & Ventura, S. J. (2013) · PubMed · Cited by 1,509
The Enigma of Spontaneous Preterm Birth
Muglia, L. J., & Katz, M. (2010) · New England Journal of Medicine · doi:10.1056/nejmra0904308 · Cited by 678
Perceived stress, quitting smoking, and smoking relapse.
Cohen, S., & Lichtenstein, E. (1990) · Health Psychology · doi:10.1037//0278-6133.9.4.466 · Cited by 402
Epidemiologic characteristics of preterm delivery: Etiologic heterogeneity
Savitz, D. A., Blackmore, C. A., & Thorp, J. M. (1991) · American Journal of Obstetrics and Gynecology · doi:10.1016/s0002-9378(11)80001-3 · Cited by 378
Perceived stress, quitting smoking, and smoking relapse.
Cohen, S., & Lichtenstein, E. (1990) · Health Psychology · doi:10.1037/0278-6133.9.4.466 · Cited by 308
The preterm birth syndrome: a prototype phenotypic classification
Villar, J., Papageorghiou, A. T., Knight, H. E., Gravett, M. G., Iams, J. D., Waller, S. A., Kramer, M. S., Culhane, J. F., Barros, F. C., Conde‐Agudelo, A., et al. (2011) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2011.10.866 · Cited by 267
The preterm birth syndrome: issues to consider in creating a classification system
Goldenberg, R. L., Gravett, M. G., Iams, J., Papageorghiou, A. T., Waller, S. A., Kramer, M., Culhane, J., Barros, F., Conde-Agudelo, A., Bhutta, Z. A., et al. (2012) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2011.10.865 · Cited by 235
Challenges in defining and classifying the preterm birth syndrome
Kramer, M. S., Papageorghiou, A. T., Culhane, J. F., Bhutta, Z. A., Goldenberg, R. L., Gravett, M. G., Iams, J. D., Conde‐Agudelo, A., Waller, S. A., Barros, F. C., et al. (2011) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2011.10.864 · Cited by 224
Causes of low birth weight births in public and private patients
Meis, P. J., Ernest, J. M., & MOORE, M. L. (1987) · American Journal of Obstetrics and Gynecology · doi:10.1016/0002-9378(87)90133-5 · Cited by 180
Flagged first, then by citations
1 of the 22 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 101–134 of 134
Hormonal biomarkers and preterm birth: insights from a study of pregnant women in Lahore, Pakistan
Akram, S., Ahmad, S., Maqsood, K., Malik, J., Iqbal, M. A., Ahmad, H., & Roohi, N. (2024) · Endocrine Regulations · doi:10.2478/enr-2024-0027 · Cited by 2
Mikkelsen, E., Amabebe, E., Olmos‐Ortiz, A., Hamburg‐Shields, E., Bytautiene, E., Shynlova, O. P., Gibbons, D. L., Mesiano, S. A., & Taggart, M. J. (2026) · Reproductive Sciences · doi:10.1007/s43032-026-02108-5 · Cited by 3
The Importance of Clinical Presentation in Risk and Management of Recurrent Preterm Birth
Smith, D. D., Finneran, M. M., Shellhaas, C., Samuels, P., & Frey, H. A. (2020) · American Journal of Perinatology · doi:10.1055/s-0040-1715116 · Cited by 2
An innovative approach to the treatment of high-risk HPV patients using allokin-alpha
Anokhova, L. I., Belokrinitskaya, T., Петровна, Б. Е., & Maslova, T. M. (2021) · Meditsinskiy sovet = Medical Council · doi:10.21518/2079-701x-2021-13-199-205 · Cited by 2
Jardine, J. E., Goodfellow, L., Ovadia, C., David, A. L., & Williamson, C. (2025) · PLoS Medicine · doi:10.1371/journal.pmed.1004601 · Cited by 2
Low-dose aspirin and racial disparities in spontaneous preterm delivery in low-risk individuals
Kane, V. A., Andrikopoulou, M., Bertozzi-Villa, C., Mims, J. R., Pinson, K. A., & Gyamfi‐Bannerman, C. (2023) · AJOG Global Reports · doi:10.1016/j.xagr.2023.100273 · Cited by 2
Mayne, G., Ghidei, L. A., Buckley, A. B., Perng, W., Hurt, K. J., & Tracer, D. P. (2025) · European Journal of Obstetrics & Gynecology and Reproductive Biology X · doi:10.1016/j.eurox.2025.100409 · Cited by 2
Meyer, J. A., Limaye, M. A., Roman, A. S., Brubaker, S. G., & Mehta‐Lee, S. S. (2024) · American Journal of Obstetrics & Gynecology MFM · doi:10.1016/j.ajogmf.2024.101390 · Cited by 2
Zelkowitz, P., & MINDE, K. K. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-809324-5.22834-4 · Cited by 3
Pregnancy-Induced Uterine Vascular Remodelling and the Pathophysiology of Decidual Vasculopathy
Morgan, T. K., & Parks, W. T. (2018) · Springer eBooks · doi:10.1007/978-3-319-97214-5_32 · Cited by 1
Tsiartas, P. (2017) · Gothenburg University Publications Electronic Archive (Gothenburg University) · Cited by 1
Radek Bukowski appointed Editor of Computational Medicine for AJOG
Romero, R. J. (2020) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2020.03.039 · Cited by 1
Assessing the risk factors of preterm births in Kurdistan, Iran: a case-control studyPreprint
Hemmatpour, S., Mansori, M., Moradi, G., Sheikhahmadi, S., & Bagheri, B. (2020) · doi:10.21203/rs.2.23137/v1 · Cited by 1
Hoffman, M. C., Mahony, R., Foley, M., Gibbs, R. S., Galan, H. L., & Lynch, A. M. (2015) · Clinical Obstetrics Gynecology and Reproductive Medicine · doi:10.15761/cogrm.1000119
Preterm Birth: Understanding Temporal Changes in Anxiety and Depression Measures
Doktorchik, C. T. A. (2017) · Libraries and Cultural Resources (University of Calgary) · doi:10.11575/prism/27423
Assessing the risk factors of preterm births in Kurdistan, Iran: a case-control studyPreprint
Hemmatpour, S., Mansori, M., Moradi, G., Sheikhahmadi, S., & Bagheri, B. (2020) · doi:10.21203/rs.3.rs-32989/v1
(2015) · American Journal of Obstetrics and Gynecology · doi:10.1016/s0002-9378(15)00166-0
Redline, R. W. (2018) · Cambridge University Press eBooks · doi:10.1017/9781316848616.032
Al-mashhadani, S. A.-K. M., Al-Janabi, H. H., Hassan, I. F., & Mahdi, R. D. (2024) · Journal of emergency medicine, trauma & acute care · doi:10.5339/jemtac.2024.cism.6
Racial Disparities in Adverse Pregnancy Outcomes
Parker, A. (2024) · Springer eBooks · doi:10.1007/978-3-031-76204-8_9
Defining knowledge gaps in preterm birth research: Can biomarkers fill the gaps?
Williams, S. M., Rosenblatt, K. P., Reznik, S. E., Misra, D. P., Siricilla, S., Gomez‐Lopez, N., Taylor, B. D., Waldorf, K. M. A., Menon, R., & 2024, P. N. A. (2025) · Frontiers in Medicine · doi:10.3389/fmed.2025.1655833
Abraham, A., Le, B. L., Kosti, I., Straub, P., Velez-Edwards, D. R., Davis, L. K., Newton, J. M., Muglia, L. J., Rokas, A., Bejan, C. A., et al. (2022) · Figshare · doi:10.6084/m9.figshare.21220054
Screening, diagnosis, and therapeutic approaches to preterm labor
İmamoğlu, M., Habib, P. A., & Turan, O. M. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-21564-3.00006-4
Monteserin, N., & Bender, W. R. (2026) · The Journal of Maternal-Fetal & Neonatal Medicine · doi:10.1080/14767058.2026.2670754
Nelin, T. D., Novick, N. P. G., Radack, J. K., Ledyard, R. F., Just, A. C., DeMauro, S. B., Scott, K. A., Chen, A., Lorch, S. A., & Burris, H. H. (2026) · Annals of Epidemiology · doi:10.1016/j.annepidem.2026.110291
Amirfakhrian, R., Karimi, M. A., Lotfi, H., Manizhe, K., & Bafghi, M. H. (2026) · Current Obstetrics and Gynecology Reports · doi:10.1007/s13669-026-00497-7
The Metabolic Signature of the Placenta in SPTB
Simmons, R. (2022) · ImmPort · doi:10.21430/m3hs37cjnw
Maternal gut microbiota reflecting poor diet quality is associated with sPTB
Compher, C. W. (2021) · ImmPort · doi:10.21430/m3am77xtu7
Human Placental Transcriptome and fetal sex differences in SPTB
Simmons, R. (2022) · ImmPort · doi:10.21430/m3qpejcgy4
Dense phenotyping from EHR enables machine learning-based prediction of PTB
Capra, J. (2022) · ImmPort · doi:10.21430/m32keu0edf
Metadata
- Authors
- Manuck, T. A., Esplin, M. S., Biggio, J., Bukowski, R., Parry, S., Zhang, H., Huang, H., Varner, M. W., Andrews, W., Saade, G., Sadovsky, Y., Reddy, U. M., & Ilekis, J.
- Affiliations
- Intermountain Healthcare (US)
- University of Alabama at Birmingham (US)
- The University of Texas Medical Branch at Galveston (US)
- University of Pennsylvania (US)
- Yale University (US)
- University of Pittsburgh (US)
- National Institutes of Health (US)
- Corresponding author
- Manuck, Tracy A.
- ORCID
- Venue
- American Journal of Obstetrics and Gynecology
- Publisher
- Elsevier BV
- Published
- 2015-04
- Volume
- 212
- Issue
- 4
- Pages
- 487.e1-487.e11
- ISSN
- 0002-9378 (ISSN-L)
- PMC
- PMC4456184
- OpenAlex
- W2092576140
- Cited by
- 132
- References
- 22
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 8 · 2023: 12 · 2022: 6 · 2021: 18 · 2020: 19 · 2019: 9 · 2018: 14 · 2017: 16 · 2016: 11 · 2015: 7
- FWCI
- 12.54
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- American Journal of Obstetrics and Gynecology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Yale University
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (U01HD050062, U01HD050078, U01HD050088, K23HD067224, U01HD050094, U01HD050080)
- Topics
- Health Sciences › Medicine › Obstetrics and Gynecology › Preterm Birth and Chorioamnionitis
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Infant Development and Preterm Care
- Health Sciences › Medicine › Obstetrics and Gynecology › Maternal and Perinatal Health Interventions
- Keywords
- spontaneous preterm birth, very preterm birth, early preterm birth, gestational age at delivery, racial disparities, African American women, maternal stress, cervical incompetence, infection and inflammation, placental insufficiency, premature rupture of membranes, maternal comorbidities, family risk factors
- MeSH terms
- Adult, Female, Gestational Age, Humans, Phenotype, Pregnancy, Prospective Studies, Risk Factors, United States, Case-Control Studies, Premature Birth
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