The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index; 4 of the 21 sources its claims cite were checked for support.
The plateau of human mortality: Demography of longevity pioneers
Open accessAbstract
Mortality rates level off at extreme age: The demography of human longevity is a contentious topic. On the basis of high-quality data from Italians aged 105 and older, Barbi et al. show that mortality is constant at extreme ages but at levels that decline somewhat across cohorts. Human death rates increase exponentially up to about age 80, then decelerate, and plateau after age 105. Science , this issue p. 1459
Overview
AI snapshot
Written from the paper’s full text.
TL;DR
Using validated ISTAT data on all Italian inhabitants aged 105+ from 2009–2015, the authors find essentially level mortality hazards beyond age 105. The results provide strong evidence for an extreme-age mortality plateau in humans.
Key findings
- Across 3,836 carefully documented cases (463 males) in 15 birth cohorts (1896–1910), hazard curves are essentially constant beyond age 105.
- The Gompertz slope estimate is \(b = 0.013\) (SE 0.017), not statistically significant; a likelihood ratio test fails to reject the constant-hazard null at a level of 0.44, in contrast to a slope as large as 0.103 at ages 65–80.
- For the baseline 1904 cohort, the estimated plateau is \(a = 0.645\), corresponding to an annual probability of dying of 0.475 and an expectation of further life of 1.55 years.
- The cohort effect is \(\beta_1 = -0.020\) (SE 0.008), statistically significant; the male effect \(\beta_2 = 0.033\) is plausible but not statistically significant.
Methods
- Data: ISTAT-collected and validated individual survival trajectories of all Italian inhabitants aged 105 and over from 1 January 2009 to 31 December 2015; 3,836 cases, 463 males, 15 birth cohorts (1896–1910), with 2,883 observed deaths and 953 right-censored individuals.
- Validation: municipality contacts, death certificates, survival certificates, and birth certificates for supercentenarians; age misreporting is believed minimal and the data are free of age ascertainment bias.
- Analysis: maximum likelihood for truncated and censored survival data under a hazard model \(a\exp(bx)\exp(\beta_1 C + \beta_2 M)\), where \(C\) is cohort birth year minus 1904 and \(M\) indicates male; the null model constrains \(b = 0\), with likelihood ratio tests and cumulative-hazard checks.
Limitations
- Stated: with 90% of person-years at risk before age 108, the ISTAT data cannot rule out alternatives such as a plateau followed later by decline, though supercentenarian estimates argue against such alternatives.
- Stated: the 463 male survivors beyond 105 are too few for the gender effect to reach statistical significance.
- Evident from the text: the analysis is based on a single nation, Italy, so generalization to other populations is not directly tested.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
4 of 21 cited sources checked · 2 supported · 0 flagged · accuracy not yet measured
- Interpretationcitation
These well-estimated hazard curves share the qualitative pattern observed at extreme ages in widely differing species.
“Thus these well-estimated hazard curves share the qualitative pattern observed at extreme ages in widely differing species (8, 18)”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [8] Vaupel JW, Carey JR, Christensen K, Johnson TE, Yashin AI, Holm NV, Iachine IA, Kannisto V, Khazaeli AA, Liedo P, Longo VD, Zeng Y, Manton KG, Curtsinger JW, Biodemographic Trajectories of longevity. Science 280, 855– 860 (1998). 9599158 source
- cites [18] Vaupel JW, Biodemography of human aging. Nature 464, 536– 542 (2010). 20336136 PMC4010874 source
In “Delay not deceleration,” the paper reports a constant annual probability of death at validated human ages 110–114. Its discussion of other species describes varied age-related mortality patterns, and its References list a study of slowing mortality in medflies; it does not establish that well-estimated hazard curves share the same extreme-age pattern across widely differing species. (LLM, conf=0.82)
Experimental — accuracy not yet measured
- Premisecitation
The fixed-frailty proportional hazard model of Vaupel, Stallard, and Manton implies approach to plateaus.
“The fixed-frailty proportional hazard model of Vaupel, Stallard, and Manton (19) (with precursor 20) implies approach to plateaus (5, 8, 18)”
Quote in the paperSubstantial claim1 of 4 sources checked- cites [19] Vaupel JW, Manton KG, Stallard E, The impact of heterogeneity in individual frailty on the dynamics of mortality. Demography 16, 439– 454 (1979). 510638 source
- cites [5] Thatcher AR, Kannisto V, Vaupel JW, The force of mortality at ages 80 to 120. (Odense University Press, 1998).
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [8] Vaupel JW, Carey JR, Christensen K, Johnson TE, Yashin AI, Holm NV, Iachine IA, Kannisto V, Khazaeli AA, Liedo P, Longo VD, Zeng Y, Manton KG, Curtsinger JW, Biodemographic Trajectories of longevity. Science 280, 855– 860 (1998). 9599158 source
- cites [18] Vaupel JW, Biodemography of human aging. Nature 464, 536– 542 (2010). 20336136 PMC4010874 source
The References section lists Vaupel, Manton, and Stallard’s work on individual frailty and separately lists work on mortality-rate deceleration, but does not say that a fixed-frailty proportional-hazard model implies an approach to plateaus. Searches for plateaus, proportional hazards, frailty, and mortality deceleration found no passage in our copy establishing that implication. (LLM, conf=0.72)
Experimental — accuracy not yet measured
- Findingown data
The study estimates hazard rates from data on all Italian inhabitants aged over 105 between 2009 and 2015 (born 1896-1910), comprising 3836 carefully documented cases.
“Here we estimate hazard rates from data on all Italian inhabitants aged over 105 between 2009 and 2015 (born 1896–1910), 3836 carefully documented cases.”
Quote in the paperSubstantial claim - Findingown data
Hazard curves are level, essentially constant beyond age 105.
“We find level hazard curves, essentially constant beyond age 105.”
- Also stated in: § Abstract · plain
“Here we report a curve of death rates by age for recent cohorts of Italians, a curve essentially level over 105.”
- Also stated in: § Abstract · hedged
“Our best-estimated trajectory for the 1904 cohort from our modeling is the flat curve, the plateau, shown in Fig. 1b.”
Quote in the paperSubstantial claim - Also stated in: § Abstract · plain
- Findingown data
Increases in samples from row to row in Table 1 bear testimony to improvements in survival from cohort to cohort at ages before 105.
“Increases in samples from row to row bear testimony to improvements in survival from cohort to cohort at ages before 105”
Quote in the paperSubstantial claim
- Findingreasoning
The plateau level corresponds to an expectation of further life of 1/0.645 = 1.55 years.
“and an expectation of further life of 1/0.645 = 1.55 years.”
Quote in the paperSubstantial claim - Findingown data
A likelihood ratio test fails to reject the constant-hazard null model at a level as generous as 0.44.
“A likelihood ratio test fails to reject the constant-hazard null model at a level as generous as 0.44.”
Quote in the paperSubstantial claim - Findingown data
For the baseline cohort born in 1904, the estimated level of the plateau is a = 0.645.
“For the baseline cohort born in 1904, the estimated level of the plateau is a = 0.645.”
Quote in the paperSubstantial claim - Findingown data
Estimates based on all ISTAT cohorts together produce excellent fits for single cohorts.
“Our estimates based on all ISTAT cohorts together produce excellent fits for single cohorts.”
Quote in the paperSubstantial claim - Findingreasoning
The plateau level corresponds to an annual probability of dying of 1 − exp(−0.645) = 0.475.
“It corresponds to an annual probability of dying of 1 — exp(−0.645) = 0.475”
Quote in the paperSubstantial claim - Premisereasoning
Country-specific estimates were not feasible because individual countries do not provide enough observations to limit sampling variation.
“Country-specific estimates were not feasible because individual countries do not provide enough observations to limit sampling variation.”
Quote in the paperSubstantial claim - Study design and conductnone given
ISTAT has collected and carefully validated the individual survival trajectories of all Italian inhabitants aged 105 and over from 1 January 2009 to 31 December 2015, the data for the present study.
“In conjunction with the IDL extension, the Italian National Institute of Statistics (ISTAT) has recently collected and carefully validated the individual survival trajectories of all the Italian inhabitants aged 105 and over in the period from 1 January 2009 to 31 December 2015, the data for the present study.”
Quote in the paperSubstantial claim - Interpretationown data
The estimates are free from artifacts of aggregation limiting earlier studies.
“The estimates are free from artifacts of aggregation limiting earlier studies”
Quote in the paperSubstantial claim - Premisereasoning
For the supercentenarian result, data had to be pooled from eleven countries to arrive at adequate sample sizes.
“For this result, data on supercentenarians had to be pooled from eleven countries to arrive at adequate sample sizes.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [12] Gampe J, Human mortality beyond age 110 in Supercentenarians, Meier H, Gampe J, Jeune B, Robine JM, Vaupel JW, Eds. (Springer, 2010), pp. 219– 230.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
The estimates provide the best evidence so far for the existence of extreme-age mortality plateaus in humans.
“and provide the best evidence so far for the existence of extreme-age mortality plateaus in humans.”
Quote in the paperSubstantial claim - Premisecitation
Estimates of mortality after age 110 could be obtained from the IDL.
“Thanks to this database, estimates of mortality after age 110 could be obtained (12).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [12] Gampe J, Human mortality beyond age 110 in Supercentenarians, Meier H, Gampe J, Jeune B, Robine JM, Vaupel JW, Eds. (Springer, 2010), pp. 219– 230.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premiseown data
Within the limits of precision, supercentenarian hazards showed no improvement over time.
“Within the limits of precision, supercentenarian hazards showed no improvement over time.”
Quote in the paperSubstantial claim - Interpretationown data
The paper shows a clean case where the extreme-age mortality plateau is real.
“Here, to the contrary, we show a clean case where the plateau is real.”
Quote in the paperSubstantial claim - Study design and conductreasoning
Individual trajectories provide information on survival in continuous time, avoiding possibly misleading patterns of death rates computed on pre-specified age intervals and often obtained by aggregating heterogeneous birth cohorts.
“First, individual trajectories provide information on survival in continuous time, therefore avoiding possibly misleading patterns of death rates that are computed on pre-specified age intervals and are often obtained by aggregating heterogeneous birth cohorts.”
Quote in the paperSubstantial claim - Interpretationown data
These data allow estimation of mortality at extreme ages with an accuracy and precision that were not possible before.
“For several reasons, these data allow estimation of mortality at extreme ages with an accuracy and precision that were not possible before.”
Quote in the paperSubstantial claim - Interpretationreasoning
A limit, if any, has not been reached.
“and that a limit, if any, has not been reached.”
Quote in the paperSubstantial claim - Interpretationcitation
Supercentenarian estimates argue against alternatives such as a plateau followed later by decline.
“but supercentenarian estimates argue against such alternatives.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [12] Gampe J, Human mortality beyond age 110 in Supercentenarians, Meier H, Gampe J, Jeune B, Robine JM, Vaupel JW, Eds. (Springer, 2010), pp. 219– 230.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Study design and conductown data
The 463 male survivors beyond 105 are too few for the gender effect to come out statistically significant.
“The 463 male survivors beyond 105 are too few for the gender effect to come out statistically significant”
Quote in the paperNot a substantial claim - Study design and conductown data
Even with high-quality ISTAT data, separating out cohorts and ages leaves too much uncertainty to tell whether hazards continue upward, level out, or decrease beyond 105.
“Even with these high-quality data, separating out cohorts and ages leave too much uncertainty to tell whether hazards continue upward, level out, or decrease beyond 105.”
Quote in the paperSubstantial claim - Study design and conductown data
With 90% of person-years at risk coming before age 108, the ISTAT data cannot rule out alternatives like a plateau followed somewhat later by decline.
“With 90% of person-years at risk coming before age 108, the ISTAT data cannot rule out alternatives like a plateau followed somewhat later by decline”
Quote in the paperSubstantial claim - Interpretationcitation
This outcome is in keeping with the probability estimated elsewhere for supercentenarians.
“This outcome is in keeping with the probability estimated elsewhere for supercentenarians (12).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [12] Gampe J, Human mortality beyond age 110 in Supercentenarians, Meier H, Gampe J, Jeune B, Robine JM, Vaupel JW, Eds. (Springer, 2010), pp. 219– 230.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
These increases lead us to expect a downward cohort trend in hazards beyond 105 in the data.
“and lead us to expect the downward cohort trend in hazards beyond 105 in our data to be described below.”
Quote in the paperSubstantial claim - Interpretationcitation
An important structural contributor to deceleration must be the impact of selective survival in heterogeneous populations.
“An important structural contributor to deceleration must be the impact of selective survival in heterogeneous populations.”
Quote in the paperSubstantial claim
- Probably not a substantial claim. 8
- It may state two separate claims as one. 15
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationElegant Gamma-Gompertz distributions for deaths arise naturally in the framework.
“and elegant Gamma-Gompertz distributions for deaths arise naturally in the framework (21–24).”
Quote in the paperNot a substantial claim1 of 4 sources checked- cites [21] Finkelstein MS, Esaulova V, Asymptotic behavior of a general class of mixture failure rates. Adv. Appl. Prob. 38, 244– 262 (2006). source
- cites [22] Steinsaltz DR, Wachter KW, Understanding mortality rate deceleration and heterogeneity. Math. Pop. Studies 13, 19– 37 (2006). source
- cites [23] Missov TI, Finkelstein MS, Admissible mixing distributions for a general class of mixture survival models with known asymptotics. Theor. Pop. Bio. 80, 64– 70 (2011). 21600234 source
- cites [24] Missov TI, Vaupel JW, Mortality implications of mortality plateaus. SIAM Review 57, 61– 70 (2015). source
Probably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it.
InterpretationcitationEvolutionary theories of senescence including the mutation accumulation theory and age-dependent effects of genetic load offer promising ingredients toward a joint explanation of both the phases of exponential increase and extreme age plateaus.
“Evolutionary theories of senescence including the mutation accumulation theory and age-dependent effects of genetic load (25) also offer promising ingredients toward a joint explanation of both the phases of exponential increase and extreme age plateaus.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [25] Wachter KW, Steinsaltz DR, Evans SH, Evolutionary Shaping of Demographic Schedules PNAS 111(s3), 10846– 10853 (2014). 25024186 PMC4113925 source
It may state two separate claims as one.
Findingown dataUnder the alternative hypothesis, the Gompertz slope parameter estimate b = 0.013 with standard error 0.017 is not statistically significant at the 5% level and is practically indistinguishable from zero.
“Under the alternative hypothesis, the Gompertz slope parameter estimate b = 0.013 with standard error 0.017, is not statistically significant at the 5% level and is practically indistinguishable from zero.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataDeath rates which increase exponentially up to about age 80 do decelerate thereafter and reach or closely approach a plateau after age 105.
“In this setting with clean data from a single nation and straightforward estimation, death rates which increase exponentially up to about age 80 do, as we report here, decelerate thereafter and reach or closely approach a plateau after age 105.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
Findingown dataDeath during the follow-up was observed in 2883 cases and 953 individuals are right-censored, i.e., still alive at the end of the study.
“Death during the follow-up was observed in 2883 cases and, as a result, 953 individuals are right-censored, i.e., still alive at the end of the study.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataThis near-negligible slope stands in striking contrast to the slope as large as 0.103 at younger ages (65-80) in Fig. 1b, which is paired with a log hazard at 65 of log(0.015).
“This near- negligible slope stands in striking contrast to the slope as large as 0.103 at younger ages (65–80) in Fig. 1b, which is paired with a log hazard at 65 of log(0.015).”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Findingown dataLess than 4% of these individuals were born abroad.
“Less than 4% of these individuals were born abroad.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataThe present study based on ISTAT data includes 3836 cases, 463 of whom are males, across 15 birth cohorts (1896-1910).
“The present study based on ISTAT data includes 3836 cases, 463 of whom are males, across 15 birth cohorts (1896 – 1910).”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataA straight-line fit based on ages 65 to 80, where the Gompertz model does appear to hold, fails at later ages and far overshoots the estimated plateau beyond age 105.
“A straight-line fit based on ages 65 to 80, where the Gompertz model does appear to hold, fails at later ages and far overshoots our estimated plateau beyond age 105.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataFig. 2 shows absence of curvature for Italian women born in 1904, as do plots for other cohorts not included.
“Fig. 2 shows heartening absence of curvature for Italian women born in 1904, as do plots for other cohorts not included here.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
FindingcitationThe estimated cohort effect β1 = −0.020 with standard error 0.008, though small, is in line with expectations, statistically significant, and important.
“The estimated cohort effect β1 = −0.020 with standard error 0.008, though small, is in line with expectations, statistically significant, and important (13).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [13] Materials and methods are available as supplementary materials.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
It may state two separate claims as one.
Findingown dataSome 472 individuals born before 31 December 1903 (birth cohorts 1896-1903) enter the study at ages greater than exactly 105 and provide left-truncated survival trajectories.
“Some 472 individuals born before 31 December 1903 (birth cohorts 1896 – 1903) enter the study at ages greater than exactly 105 and, as such, provide left-truncated survival trajectories.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
PremisecitationThe hazard function appeared constant at least up to age 114, after which data become too sparse for reliable statements.
“The hazard function, the usual continuous-age version of mortality rates as a function of age, turned out to appear constant at least up to age 114, after which data become too sparse for reliable statements.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [12] Gampe J, Human mortality beyond age 110 in Supercentenarians, Meier H, Gampe J, Jeune B, Robine JM, Vaupel JW, Eds. (Springer, 2010), pp. 219– 230.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
It may state two separate claims as one.
PremisecitationThe International Database on Longevity (IDL) at the Max Planck Institute for Demographic Research is the result of a decade-long effort collecting, analysing, and meticulously checking data on people who reach ages of 110 years or more, supercentenarians, in fifteen countries including Italy, updated through 2010.
“The International Database on Longevity (IDL) at the Max Planck Institute for Demographic Research is the result of this decade-long effort (www.supercentenarians.org), updated through 2010.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites www.supercentenarians.org
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim.
Premisenone givenHazards that are constant imply cumulative hazards that are linearly increasing.
“Hazards that are constant imply cumulative hazards that are linearly increasing.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Study design and conductreasoningThe project includes all those 105 and older in the period 1 January 2009 to 31 December 2015, so that the data are free of age ascertainment bias.
“The project includes all those 105 and older in the period 1 January 2009 to 31 December 2015, so that the data are also free of age ascertainment bias.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Interpretationown dataThe increasing number of exceptionally long-lived people in Table 1 and the fact that their mortality beyond 105 is declining across cohorts, lowering the mortality plateau or postponing the age when it appears, strongly suggest that longevity is continuing to increase over time.
“The increasing number of exceptionally long-lived people in Table 1 and the fact that their mortality beyond 105 is seen to be declining across cohorts lowering the mortality plateau or postponing the age when it appears strongly suggest that longevity is continuing to increase over time”
Quote in the paperSubstantial claimProbably not a substantial claim.
Study design and conductnone givenIn these data, age misreporting is believed to be minimal.
“In these data, age misreporting is believed to be minimal.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Study design and conductnone givenThe validation procedure has been developed specifically for this population segment and meets the highest validation criteria provided by the IDL protocol.
“Second, the validation procedure has been developed specifically for this population segment and meets the highest validation criteria provided by the IDL protocol.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Interpretationown dataThe results contribute to a recently rekindled debate about the existence of a fixed maximum lifespan for humans, underwriting doubt that any limit is as yet in view.
“Our results contribute to a recently rekindled debate (15–17) about the existence of a fixed maximum lifespan for humans, underwriting doubt that any limit is as yet in view.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [15] Dong X, Milholland B, Vijg J, Evidence for a limit to human lifespan. Nature 538, 257– 259 (2016). 27706136 PMC11673931 source
- cites [16] Lenart A, Vaupel JW, Questionable evidence for a limit to human lifespan. Nature 546, E13– E14 (2017). 28658239 source
- cites [17] Rootzn H, Zholud D, Human life is unlimited but short. Extremes 20, 713– 728 (2017).
Probably not a substantial claim. It may be too vague to check against evidence.
InterpretationreasoningThese regularities call for common structural and evolutionary explanations.
“regularities calling for common structural and evolutionary explanations.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
InterpretationreasoningThe estimate β2 = 0.033 is plausible.
“though the estimate β2 = 0.033 is plausible.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
Accurate mortality data at advanced ages are difficult to obtain.
“Accurate mortality data at advanced ages are difficult to obtain.”
The paper relies on this without support.
In vital statistics, the very old are often aggregated in one age-group.
“In vital statistics, the very old are often aggregated in one age-group.”
The paper relies on this without support.
Even in countries with reliable vital registration, age exaggeration is common among the oldest-old.
“Even in countries with reliable vital registration, age exaggeration is common among the oldest-old.”
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?
Death rates at ages more than 105 years now are at 50 per cent or higher.
“As a frame of reference, death rates at ages more than 105 years now are at 50 per cent or higher (17,18).”
From Inconvenient Truths About Human Longevity (2019) · cites this paper as [17]
Citations
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Metadata
- Authors
- Barbi, E., Lagona, F., Marsili, M., Vaupel, J. W., & Wachter, K. W.
- Affiliations
- Sapienza University of Rome (IT)
- Roma Tre University (IT)
- Istituto Nazionale di Statistica (IT)
- Duke University (US)
- University of California, Berkeley (US)
- Corresponding author
- Barbi, Elisabetta
- Venue
- Science
- Published
- 2018-06-29
- Volume
- 360
- Issue
- 6396
- Pages
- 1459-1461
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC6457902
- OpenAlex
- W2811063823
- Cited by
- 299
- References
- 23
- Citations by year
- 2026: 28 · 2025: 15 · 2024: 21 · 2023: 22 · 2022: 32 · 2021: 81 · 2020: 43 · 2019: 39 · 2018: 18
- FWCI
- 70.98
- Type
- journal article
- Language
- en
- Open access
- Licence
- cc-by-nc
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- University of Southern Denmark Research Portal (University of Southern Denmark) (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Iris (Roma Tre University) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- IRIS Research product catalog (Sapienza University of Rome) (submittedVersion)
- Funders
- U.S. National Institute on Aging (5P30AG012839)
- Topics
- Social Sciences › Demography › Insurance, Mortality, Demography, Risk Management
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Social Sciences › Psychology › Developmental and Educational Psychology › Aging and Gerontology Research
- Keywords
- mortality plateau, hazard function, longevity, centenarians, oldest old
- MeSH terms
- Aged, 80 and over, Demography, Female, Humans, Italy, Longevity, Male, Mortality, Proportional Hazards Models
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.
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